Catalogus

modellen

De hele wu-gold-catalogus op één plek: volledige modellen en de eco-modus :lite. Eén eindpunt, uniforme aliassen.

335 modellen57 aanbiedersbasis-URL — api.wuproj.com/v1verzoek ≈ 0.0005–0.507 gklik op een ID om te kopiëren
Aanbieder
Criterium
OpenAI63 modellen

GPT-3.5 Turbo

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for c

ctx 16K~0.025ggeneral

GPT-3.5 Turbo (older v0613)

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for c

ctx 4K~0.047ggeneral

GPT-3.5 Turbo 16k

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text

ctx 16K~0.133ggeneral

GPT-3.5 Turbo Instruct

This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Traini

ctx 4K~0.066ggeneral

GPT-4

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with gre

ctx 8K~1.40greasoning

GPT-4 (older v0314)

GPT-4-0314 is the first version of GPT-4 released, with a context length of 8,192 tokens, and was supported until June 1

ctx 8K~1.40ggeneral

GPT-4 Turbo (older v1106)

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Train

ctx 128K~0.507ggeneral

GPT-4 Turbo

multimodal

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Train

ctx 128K~0.507gvision

GPT-4 Turbo Preview

The preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling,

ctx 128K~0.507ggeneral

GPT-4.1

multimodal

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering

ctx 1.0M~0.109greasoning

GPT-4.1 Mini

multimodal

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost

ctx 1.0M~0.022gvision

GPT-4.1 Nano

multimodal

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exc

ctx 1.0M~0.0055gvision

GPT-4o

multimodal

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintai

ctx 128K~0.137gvision

GPT-4o (2024-05-13)

multimodal

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintai

ctx 128K~0.254gvision

GPT-4o (2024-08-06)

multimodal

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON sc

ctx 128K~0.137gvision

GPT-4o (2024-11-20)

multimodal

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored

ctx 128K~0.137gvision

GPT-4o Audio

The gpt-4o-audio-preview model adds support for audio inputs as prompts. This enhancement allows the model to detect nua

ctx 128K~0.137gvision

GPT-4o-mini

multimodal

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their

ctx 128K~0.0082gvision

GPT-4o-mini (2024-07-18)

multimodal

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their

ctx 128K~0.0082gvision

GPT-4o-mini Search Preview

GPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and ex

ctx 128K~0.0082gvision

GPT-4o Search Preview

GPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute

ctx 128K~0.137gvision

GPT-5

multimodal

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It i

ctx 400K~0.088greasoning

GPT-5 Chat

multimodal

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications

ctx 128K~0.088greasoning

GPT-5 Codex

multimodal

GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed fo

ctx 400K~0.088greasoning

GPT-5 Image

multimodal

GPT-5 Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improveme

ctx 400K~0.429greasoning

GPT-5 Image Mini

multimodal

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by GPT-5 Mini, with GPT Image 1 Mini for effi

ctx 400K~0.105greasoning

GPT-5 Mini

multimodal

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instru

ctx 400K~0.018greasoning

GPT-5 Nano

multimodal

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, a

ctx 400K~0.0035greasoning

GPT-5 Pro

multimodal

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience.

ctx 400K~1.05greasoning

GPT-5.1

multimodal

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved in

ctx 400K~0.088greasoning

GPT-5.1 Chat

multimodal

GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retain

ctx 128K~0.088greasoning

GPT-5.1-Codex

multimodal

GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designe

ctx 400K~0.088greasoning

GPT-5.1-Codex-Max

multimodal

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development

ctx 400K~0.088greasoning

GPT-5.1-Codex-Mini

multimodal

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex

ctx 400K~0.018greasoning

GPT-5.2

multimodal

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance co

ctx 400K~0.123greasoning

GPT-5.2 Chat

multimodal

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retai

ctx 128K~0.123greasoning

GPT-5.2-Codex

multimodal

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is des

ctx 400K~0.123greasoning

GPT-5.2 Pro

multimodal

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance

ctx 400K~1.47greasoning

GPT-5.3 Chat

multimodal

GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more

ctx 128K~0.123greasoning

GPT-5.3-Codex

multimodal

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of

ctx 400K~0.123greasoning

GPT-5.4

multimodal

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ toke

ctx 1.1M~0.156greasoning

GPT-5.4 Image 2

multimodal

GPT-5.4 Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It

ctx 272K~0.370greasoning

GPT-5.4 Mini

multimodal

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput wor

ctx 400K~0.047greasoning

GPT-5.4 Nano

multimodal

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and

ctx 400K~0.013greasoning

GPT-5.4 Pro

multimodal

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabili

ctx 1.1M~1.87gflagship

GPT-5.5

multimodal

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reason

ctx 1.1M~0.312gflagship

GPT-5.5 Pro

multimodal

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workload

ctx 1.1M~1.87gflagship

GPT Audio

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for

ctx 128K~0.137ggeneral

GPT Audio Mini

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices an

ctx 128K~0.033ggeneral

GPT Chat Latest

multimodal

GPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model

ctx 400K~0.312gvision

gpt-oss-120b

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-rea

ctx 131K~0.0022greasoning

gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-

ctx 131K~0.0017ggeneral

gpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mi

ctx 131K~0.0041greasoning

o1

multimodal

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1

ctx 200K~0.819greasoning

o1-pro

multimodal

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasonin

ctx 200K~8.19greasoning

o3

multimodal

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual rea

ctx 200K~0.109greasoning

o3 Deep Research

multimodal

o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. No

ctx 200K~0.546greasoning

o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science,

ctx 200K~0.060greasoning

o3 Mini High

OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high. o3-mini is a cost-efficient language

ctx 200K~0.060greasoning

o3 Pro

multimodal

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning

ctx 200K~1.09greasoning

o4 Mini

multimodal

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retain

ctx 200K~0.060greasoning

o4 Mini Deep Research

multimodal

o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step res

ctx 200K~0.109greasoning

o4 Mini High

multimodal

OpenAI o4-mini-high is the same model as o4-mini with reasoning_effort set to high. OpenAI o4-mini is a compact reasonin

ctx 200K~0.060greasoning
Qwen45 modellen

Qwen2.5 72B Instruct

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: -

ctx 131K~0.016ggeneral

Qwen2.5 7B Instruct

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - S

ctx 131K~0.0020ggeneral

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Cod

ctx 128K~0.030greasoning

Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost c

ctx 1M~0.013ggeneral

Qwen Plus 0728

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced perfo

ctx 1M~0.013greasoning

Qwen Plus 0728 (thinking)

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced perfo

ctx 1M~0.013greasoning

Qwen2.5 VL 72B Instruct

multimodal

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capa

ctx 131K~0.013gvision

Qwen3 14B

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning an

ctx 132K~0.0048greasoning

Qwen3 235B A22B

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forw

ctx 131K~0.025greasoning

Qwen3 235B A22B Instruct 2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-

ctx 262K~0.0032ggeneral

Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for c

ctx 262K~0.012greasoning

Qwen3 30B A3B

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) a

ctx 131K~0.0053greasoning

Qwen3 30B A3B Instruct 2507

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameter

ctx 262K~0.0047greasoning

Qwen3 30B A3B Thinking 2507

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring

ctx 131K~0.0047greasoning

Qwen3 32B

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning a

ctx 131K~0.0042greasoning

Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks

ctx 131K~0.0035greasoning

Qwen3 Coder 480B A35B

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is opt

ctx 1.0M~0.016greasoning

Qwen3 Coder 30B A3B Instruct

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward

ctx 160K~0.0038gcoding

Qwen3 Coder Flash

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful c

ctx 1M~0.011gcoding

Qwen3 Coder Next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It

ctx 262K~0.0074gcoding

Qwen3 Coder Plus

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agen

ctx 1M~0.038gcoding

Qwen3 Max

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction followi

ctx 262K~0.046greasoning

Qwen3 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that re

ctx 262K~0.046greasoning

Qwen3 Next 80B A3B Instruct

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable respo

ctx 262K~0.0078greasoning

Qwen3 Next 80B A3B Thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” tr

ctx 262K~0.0068greasoning

Qwen3 VL 235B A22B Instruct

multimodal

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understan

ctx 262K~0.011gvision

Qwen3 VL 235B A22B Thinking

multimodal

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across i

ctx 131K~0.020greasoning

Qwen3 VL 30B A3B Instruct

multimodal

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images

ctx 262K~0.0071gvision

Qwen3 VL 30B A3B Thinking

multimodal

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images

ctx 131K~0.011greasoning

Qwen3 VL 32B Instruct

multimodal

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and re

ctx 262K~0.0057greasoning

Qwen3 VL 8B Instruct

multimodal

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understandi

ctx 256K~0.0051greasoning

Qwen3 VL 8B Thinking

multimodal

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visua

ctx 256K~0.0099greasoning

Qwen3.5-122B-A10B

multimodal

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention

ctx 262K~0.018gvision

Qwen3.5-27B

multimodal

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response t

ctx 262K~0.014gvision

Qwen3.5-35B-A3B

multimodal

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear

ctx 262K~0.0093gvision

Qwen3.5 397B A17B

multimodal

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear att

ctx 262K~0.024gvision

Qwen3.5-9B

multimodal

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and v

ctx 262K~0.0021greasoning

Qwen3.5-Flash

multimodal

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention me

ctx 1M~0.0035gvision

Qwen3.5 Plus 2026-02-15

multimodal

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attentio

ctx 1M~0.016gvision

Qwen3.5 Plus 2026-04-20

multimodal

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video inp

ctx 1M~0.019gvision

Qwen3.6 27B

multimodal

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It fea

ctx 262K~0.025gvision

Qwen3.6 35B A3B

multimodal

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion act

ctx 262K~0.0097gvision

Qwen3.6 Flash

multimodal

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video inp

ctx 1M~0.012gvision

Qwen3.6 Max Preview

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture

ctx 262K~0.065gflagship

Qwen3.6 Plus

multimodal

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts ro

ctx 1M~0.020gvision
Google28 modellen

Gemini 2.0 Flash

multimodal

Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maintainin

ctx 1.0M~0.0040gvision

Gemini 2.0 Flash Lite

multimodal

Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maint

ctx 1.0M~0.0030gvision

Gemini 2.5 Flash

multimodal

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mat

ctx 1.0M~0.016greasoning

Nano Banana (Gemini 2.5 Flash Image)

multimodal

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation mode

ctx 33K~0.016gvision

Gemini 2.5 Flash Lite

multimodal

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cos

ctx 1.0M~0.0040greasoning

Gemini 2.5 Flash Lite Preview 09-2025

multimodal

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cos

ctx 1.0M~0.0040greasoning

Gemini 2.5 Pro

multimodal

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientifi

ctx 1.0M~0.064greasoning

Gemini 2.5 Pro Preview 06-05

multimodal

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientifi

ctx 1.0M~0.064gflagship

Gemini 2.5 Pro Preview 05-06

multimodal

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientifi

ctx 1.0M~0.064gflagship

Gemini 3 Flash Preview

multimodal

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and c

ctx 1.0M~0.023greasoning

Nano Banana Pro (Gemini 3 Pro Image Preview)

multimodal

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the orig

ctx 66K~0.091greasoning

Nano Banana 2 (Gemini 3.1 Flash Image Preview)

multimodal

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing

ctx 131K~0.023greasoning

Gemini 3.1 Flash Lite

multimodal

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads.

ctx 1.0M~0.011greasoning

Gemini 3.1 Flash Lite Preview

multimodal

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemi

ctx 1.0M~0.011greasoning

Gemini 3.1 Pro Preview

multimodal

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, impro

ctx 1.0M~0.091gflagship

Gemini 3.1 Pro Preview Custom Tools

multimodal

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing o

ctx 1.0M~0.091gflagship

Gemini 3.5 Flash

multimodal

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tie

ctx 1.0M~0.068greasoning

Gemma 2 27B

Gemma 2 27B by Google is an open model built from the same research and technology used to create the Gemini models. Gem

ctx 8K~0.020ggeneral

Gemma 3 12B

multimodal

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 12

ctx 131K~0.0015greasoning

Gemma 3 27B

multimodal

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 12

ctx 131K~0.0027greasoning

Gemma 3 4B

multimodal

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 12

ctx 131K~0.0014greasoning

Gemma 3n 4B

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and ta

ctx 33K~0.0020ggeneral

Gemma 4 26B A4B

multimodal

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total para

ctx 262K~0.0026gvision

Gemma 4 31B

multimodal

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.

ctx 262K~0.0045greasoning

Lyria 3 Clip Preview

multimodal

30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available

ctx 1.0Mvision

Lyria 3 Pro Preview

multimodal

Full-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through

ctx 1.0Mflagship

Gemini 3.1 Pro Preview (Direct)

multimodal

Gemini 3.1 Pro Preview routed directly to Google AI Studio with no rate limits.

ctx 1.0M~0.091gflagship

Gemini 3.5 Flash (Direct)

multimodal

Gemini 3.5 Flash routed directly to Google AI Studio with no rate limits.

ctx 1.0M~0.068greasoning
Mistral24 modellen

Codestral 2508

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-f

ctx 256K~0.015gcoding

Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter

ctx 262K~0.023gcoding

Devstral Medium

Devstral Medium is a high-performance code generation and agentic reasoning model developed jointly by Mistral AI and Al

ctx 131K~0.023greasoning

Devstral Small 1.1

Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral A

ctx 131K~0.0051gcoding

Ministral 3 14B 2512

multimodal

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to

ctx 262K~0.0086gvision

Ministral 3 3B 2512

multimodal

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision ca

ctx 131K~0.0043gvision

Ministral 3 8B 2512

multimodal

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capa

ctx 262K~0.0064gvision

Mistral 7B Instruct v0.1

A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length

ctx 4K~0.0050ggeneral

Mistral Large

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-availabl

ctx 128K~0.101greasoning

Mistral Large 2407

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available

ctx 131K~0.101greasoning

Mistral Large 2411

Mistral Large 2 2411 is an update of Mistral Large 2 released together with Pixtral Large 2411 It provides a significant

ctx 131K~0.101ggeneral

Mistral Large 3 2512

multimodal

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41

ctx 262K~0.025gflagship

Mistral Medium 3

multimodal

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities a

ctx 131K~0.023greasoning

Mistral Medium 3.5

multimodal

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with t

ctx 262K~0.088gvision

Mistral Medium 3.1

multimodal

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language mode

ctx 131K~0.023gvision

Mistral Nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multi

ctx 131K~0.0009ggeneral

Saba

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accu

ctx 33K~0.010ggeneral

Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released

ctx 33K~0.0023ggeneral

Mistral Small 4

multimodal

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mis

ctx 262K~0.0082greasoning

Mistral Small 3.1 24B

multimodal

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with ad

ctx 128K~0.016greasoning

Mistral Small 3.2 24B

multimodal

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following,

ctx 128K~0.0037gvision

Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of Mixtral 8x22B. It uses 39B active parameters out of 141B, offering unp

ctx 66K~0.101ggeneral

Pixtral Large 2411

multimodal

Pixtral Large is a 124B parameter, open-weight, multimodal model built on top of Mistral Large 2. The model is able to u

ctx 131K~0.101gvision

Voxtral Small 24B 2507

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retain

ctx 32K~0.0051ggeneral
Anthropic17 modellen

Claude 3 Haiku

multimodal

Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targete

ctx 200K~0.015gvision

Claude 3.5 Haiku

multimodal

Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in r

ctx 200K~0.047gvision

Claude Haiku 4.5

multimodal

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of

ctx 200K~0.059gvision

Claude Opus 4

multimodal

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on com

ctx 200K~0.877gflagship

Claude Opus 4.1

multimodal

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning,

ctx 200K~0.877gflagship

Claude Opus 4.5

multimodal

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, a

ctx 200K~0.292gflagship

Claude Opus 4.6

multimodal

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that oper

ctx 1M~0.292gflagship

Claude Opus 4.6 (Fast)

multimodal

Fast-mode variant of Opus 4.6 - identical capabilities with higher output speed at premium 6x pricing. Learn more in Ant

ctx 1M~1.75gflagship

Claude Opus 4.7

multimodal

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the

ctx 1M~0.292gflagship

Claude Opus 4.7 (Fast)

multimodal

Fast-mode variant of Opus 4.7 - identical capabilities with higher output speed at premium 6x pricing. Learn more in Ant

ctx 1M~1.75gflagship

Claude Opus 4.8

multimodal

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and f

ctx 1M~0.292gflagship

Claude Opus 4.8 (Fast)

multimodal

Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4

ctx 1M~0.585gflagship

Claude Sonnet 4

multimodal

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and rea

ctx 1M~0.175greasoning

Claude Sonnet 4.5

multimodal

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflow

ctx 1M~0.175greasoning

Claude Sonnet 4.6

multimodal

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and prof

ctx 1M~0.175greasoning

Claude 5 Sonnet

multimodal

Claude 5 Sonnet is Anthropic's next-generation model featuring top-tier performance for coding and complex tasks.

ctx 1M~0.175gflagship

Claude 5 Fable

multimodal

Claude 5 Fable is Anthropic's ultra-advanced frontier model optimized for deep thinking and reasoning.

ctx 1M~0.877gflagship
DeepSeek13 modellen

DeepSeek V3

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of

ctx 164K~0.016ggeneral

DeepSeek V3 0324

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from

ctx 164K~0.011ggeneral

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinki

ctx 164K~0.011greasoning

R1

DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B

ctx 164K~0.037greasoning

R1 0528

May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reas

ctx 164K~0.028greasoning

R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3.3-70B-Instruct, using outputs from De

ctx 131K~0.030greasoning

R1 Distill Qwen 32B

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1.

ctx 128K~0.012greasoning

DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing i

ctx 164K~0.014ggeneral

DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and ag

ctx 131K~0.011greasoning

DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and

ctx 164K~0.012ggeneral

DeepSeek V3.2 Speciale

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performanc

ctx 164K~0.013greasoning

DeepSeek V4 Flash

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B a

ctx 1.0M~0.0052ggeneral

DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated par

ctx 1.0M~0.020greasoning
Meta12 modellen

Llama 3 70B Instruct

Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was o

ctx 8K~0.023ggeneral

Llama 3 8B Instruct

Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was op

ctx 8K~0.0017ggeneral

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is

ctx 131K~0.017ggeneral

Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is f

ctx 131K~0.0010ggeneral

Llama 3.2 11B Vision Instruct

multimodal

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and tex

ctx 131K~0.011gvision

Llama 3.2 1B Instruct

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as s

ctx 131K~0.0018ggeneral

Llama 3.2 3B Instruct

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language process

ctx 131K~0.0033greasoning

Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B

ctx 131K~0.0051ggeneral

Llama 4 Maverick

multimodal

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-exper

ctx 1.0M~0.0082gvision

Llama 4 Scout

multimodal

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion p

ctx 10M~0.0043gvision

Llama Guard 3 8B

Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous vers

ctx 131K~0.019ggeneral

Llama Guard 4 12B

multimodal

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Simi

ctx 164K~0.0077gvision
Z.AI12 modellen

GLM 4 32B

GLM 4 32B is a cost-effective foundation language model. It can efficiently perform complex tasks and has significantly

ctx 128K~0.0043ggeneral

GLM 4.5

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-E

ctx 131K~0.032ggeneral

GLM 4.5 Air

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applica

ctx 131K~0.0084ggeneral

GLM 4.5V

multimodal

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) ar

ctx 66K~0.030gvision

GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has be

ctx 203K~0.024ggeneral

GLM 4.6V

multimodal

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across i

ctx 131K~0.015greasoning

GLM 4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more

ctx 203K~0.022greasoning

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further opt

ctx 203K~0.0039ggeneral

GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workf

ctx 203K~0.031ggeneral

GLM 5 Turbo

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments suc

ctx 203K~0.062ggeneral

GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks.

ctx 203Kgeneral

GLM 5V Turbo

multimodal

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven ta

ctx 203K~0.062gvision
Arcee7 modellen

Coder Large

Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed Gi

ctx 33K~0.023gcoding

Maestro Reasoning

Maestro Reasoning is Arcee's flagship analysis model: a 32 B‑parameter derivative of Qwen 2.5‑32 B tuned with DPO and ch

ctx 131K~0.048greasoning

Spotlight

multimodal

Spotlight is a 7‑billion‑parameter vision‑language model derived from Qwen 2.5‑VL and fine‑tuned by Arcee AI for tight i

ctx 131K~0.0077gvision

Trinity Large Preview

Trinity-Large-Preview is a frontier-scale open-weight language model from Arcee, built as a 400B-parameter sparse Mixtur

ctx 131K~0.0076ggeneral

Trinity Large Thinking

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance

ctx 262K~0.012greasoning

Trinity Mini

Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active

ctx 131K~0.0023greasoning

Virtuoso Large

Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creat

ctx 131K~0.034greasoning
MiniMax7 modellen

MiniMax-01

multimodal

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billi

ctx 1.0M~0.012gvision

MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It

ctx 1M~0.024greasoning

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. Wit

ctx 205K~0.014greasoning

MiniMax M2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and express

ctx 66K~0.016ggeneral

MiniMax M2.1

MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern

ctx 205K~0.015ggeneral

MiniMax M2.5

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex

ctx 205K~0.010ggeneral

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous i

ctx 205K~0.016ggeneral
Baidu6 modellen

ERNIE 4.5 21B A3B

A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, de

ctx 131K~0.0038ggeneral

ERNIE 4.5 21B A3B Thinking

ERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model, refined to boost reasoning depth and quality for t

ctx 131K~0.0038greasoning

ERNIE 4.5 300B A47B

ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE

ctx 131K~0.015ggeneral

ERNIE 4.5 VL 28B A3B

multimodal

A powerful multimodal Mixture-of-Experts chat model featuring 28B total parameters with 3B activated per token, deliveri

ctx 131K~0.0076gvision

ERNIE 4.5 VL 424B A47B

multimodal

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B tota

ctx 131K~0.021gvision

Qianfan-OCR-Fast

multimodal

Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR traini

ctx 66K~0.037gvision
Amazon5 modellen

Nova 2 Lite

multimodal

Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos t

ctx 1M~0.021greasoning

Nova Lite 1.0

multimodal

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, an

ctx 300K~0.0033gvision

Nova Micro 1.0

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of model

ctx 128K~0.0019ggeneral

Nova Premier 1.0

multimodal

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the bes

ctx 1M~0.146greasoning

Nova Pro 1.0

multimodal

Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and

ctx 300K~0.044gvision
Moonshot5 modellen

Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion

ctx 131K~0.031ggeneral

Kimi K2 0905

Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model develo

ctx 262K~0.033ggeneral

Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long

ctx 262K~0.033greasoning

Kimi K2.5

multimodal

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-dire

ctx 262K~0.023gvision

Kimi K2.6

multimodal

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX gener

ctx 262K~0.042gvision
Nousresearch5 modellen

Hermes 2 Pro - Llama-3 8B

Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the Ope

ctx 8K~0.0060ggeneral

Hermes 3 405B Instruct

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, m

ctx 131K~0.043greasoning

Hermes 3 70B Instruct

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, m

ctx 131K~0.013greasoning

Hermes 4 405B

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hy

ctx 131K~0.051greasoning

Hermes 4 70B

Hermes 4 70B is a hybrid reasoning model from Nous Research, built on Meta-Llama-3.1-70B. It introduces the same hybrid

ctx 131K~0.0066greasoning
Perplexity5 modellen

Sonar

multimodal

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources

ctx 127K~0.043gvision

Sonar Deep Research

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across compl

ctx 128K~0.109greasoning

Sonar Pro

multimodal

Note: Sonar Pro pricing includes Perplexity search pricing. See details here For enterprises seeking more advanced capab

ctx 200K~0.175greasoning

Sonar Pro Search

multimodal

Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning

ctx 200K~0.175greasoning

Sonar Reasoning Pro

multimodal

Note: Sonar Pro pricing includes Perplexity search pricing. See details here Sonar Reasoning Pro is a premier reasoning

ctx 128K~0.109greasoning
Sao10K5 modellen

Llama 3 Euryale 70B v2.1

Euryale 70B v2.1 is a model focused on creative roleplay from Sao10k. - Better prompt adherence. - Better anatomy / spat

ctx 8K~0.063greasoning

Llama 3 8B Lunaris

Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models,

ctx 8K~0.0018greasoning

Llama 3.1 70B Hanami x1

This is Sao10K's experiment over Euryale v2.2

ctx 16K~0.129greasoning

Llama 3.1 Euryale 70B v2.2

Euryale L3.1 70B v2.2 is a model focused on creative roleplay from Sao10k. It is the successor of Euryale L3 70B v2.1

ctx 131K~0.036greasoning

Llama 3.3 Euryale 70B

Euryale L3.3 70B is a model focused on creative roleplay from Sao10k. It is the successor of Euryale L3 70B v2.2

ctx 131K~0.028greasoning
Xiaomi5 modellen

MiMo-V2-Flash

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309

ctx 262K~0.0051ggeneral

MiMo-V2-Omni

multimodal

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified arch

ctx 262K~0.023gvision

MiMo-V2-Pro

MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply op

ctx 1.0M~0.051ggeneral

MiMo-V2.5

multimodal

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference

ctx 1.0M~0.023gvision

MiMo-V2.5-Pro

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex softwar

ctx 1.0M~0.051ggeneral
Aion4 modellen

Aion-1.0

Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It

ctx 131K~0.187greasoning

Aion-1.0-Mini

Aion-1.0-Mini 32B parameter model is a distilled version of the DeepSeek-R1 model, designed for strong performance in re

ctx 131K~0.033greasoning

Aion-2.0

Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong a

ctx 131K~0.037ggeneral

Aion-RP 1.0 (8B)

Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-

ctx 33K~0.037ggeneral
Bytedance Seed4 modellen

Seed 1.6

multimodal

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and ada

ctx 262K~0.018greasoning

Seed 1.6 Flash

multimodal

Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual unders

ctx 262K~0.0041greasoning

Seed-2.0-Lite

multimodal

Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities

ctx 262K~0.018gvision

Seed-2.0-Mini

multimodal

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and f

ctx 262K~0.0055greasoning
Cohere4 modellen

Command A

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance acr

ctx 256K~0.137ggeneral

Command R (08-2024)

command-r-08-2024 is an update of the Command R with improved performance for multilingual retrieval-augmented generatio

ctx 128K~0.0082greasoning

Command R+ (08-2024)

command-r-plus-08-2024 is an update of the Command R+ with roughly 50% higher throughput and 25% lower latencies as comp

ctx 128K~0.137ggeneral

Command R7B (12-2024)

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, too

ctx 128K~0.0020greasoning
NVIDIA4 modellen

Llama 3.3 Nemotron Super 49B V1.5

Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3

ctx 131K~0.0055greasoning

Nemotron 3 Nano 30B A3B

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers

ctx 262K~0.0027greasoning

Nemotron 3 Super

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute ef

ctx 1M~0.0053greasoning

Nemotron Nano 9B V2

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified mod

ctx 131K~0.0022greasoning
Thedrummer4 modellen

Cydonia 24B V4.1

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligenc

ctx 131K~0.014ggeneral

Rocinante 12B

Rocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary w

ctx 33K~0.0083ggeneral

Skyfall 36B V2

Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced

ctx 33K~0.025ggeneral

UnslopNemo 12B

UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scena

ctx 33K~0.017ggeneral
~Anthropic3 modellen

Anthropic Claude Haiku Latest

multimodal

This model always redirects to the latest model in the Anthropic Claude Haiku family

ctx 200K~0.059gvision

Claude Opus Latest

multimodal

This model always redirects to the latest model in the Claude Opus family

ctx 1M~0.292gflagship

Anthropic Claude Sonnet Latest

multimodal

This model always redirects to the latest model in the Anthropic Claude Sonnet family

ctx 1M~0.175gvision
Inclusionai3 modellen

Ling-2.6-1T

Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for

ctx 262K~0.021ggeneral

Ling-2.6-flash

Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, de

ctx 262K~0.0005ggeneral

Ring-2.6-1T

Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that

ctx 262K~0.0054greasoning
Microsoft3 modellen

Phi 4

Microsoft Research Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situation

ctx 16K~0.0031greasoning

Phi 4 Mini Instruct

Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - wit

ctx 131K~0.0045greasoning

WizardLM-2 8x22B

WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared t

ctx 66K~0.027ggeneral
xAI3 modellen

Grok 4.20

multimodal

Grok 4.20 is a reasoning model from xAI with industry-leading speed and agentic tool calling capabilities. It combines t

ctx 2M~0.059gflagship

Grok 4.20 Multi-Agent

multimodal

Grok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents

ctx 2M~0.101gflagship

Grok 4.3

multimodal

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic wor

ctx 1M~0.059greasoning
~Google2 modellen

Google Gemini Flash Latest

multimodal

This model always redirects to the latest model in the Google Gemini Flash family

ctx 1.0M~0.094gvision

Google Gemini Pro Latest

multimodal

This model always redirects to the latest model in the Google Gemini Pro family

ctx 1.0M~0.125gvision
~Openai2 modellen

OpenAI GPT Latest

multimodal

This model always redirects to the latest model in the OpenAI GPT family

ctx 1.1M~0.312gvision

OpenAI GPT Mini Latest

multimodal

This model always redirects to the latest model in the OpenAI GPT Mini family

ctx 400K~0.047gvision
Ibm Granite2 modellen

Granite 4.0 Micro

Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of mo

ctx 131K~0.0011ggeneral

Granite 4.1 8B

Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It

ctx 131K~0.0023ggeneral
Inflection2 modellen

Inflection 3 Pi

Inflection 3 Pi powers Inflection's Pi chatbot, including backstory, emotional intelligence, productivity, and safety. I

ctx 8K~0.137ggeneral

Inflection 3 Productivity

Inflection 3 Productivity is optimized for following instructions. It is better for tasks requiring JSON output or preci

ctx 8K~0.137ggeneral
Morph2 modellen

Morph V3 Fast

Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The mod

ctx 82K~0.036ggeneral

Morph V3 Large

Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transform

ctx 262K~0.043ggeneral
Rekaai2 modellen

Reka Edge

multimodal

Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generat

ctx 16K~0.0043gvision

Reka Flash 3

Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka.

ctx 66K~0.0047ggeneral
Relace2 modellen

Relace Apply 3

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can

ctx 256K~0.038ggeneral

Relace Search

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant fil

ctx 256K~0.051ggeneral
Tencent2 modellen

Hunyuan A13B Instruct

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parame

ctx 131K~0.0077greasoning

Hy3 preview

Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use

ctx 262K~0.0036greasoning
~Moonshotai1 model

MoonshotAI Kimi Latest

multimodal

This model always redirects to the latest model in the MoonshotAI Kimi family

ctx 262K~0.042gvision
Ai21 model

Olmo 3 32B Think

Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and

ctx 66K~0.0078greasoning
AI211 model

Jamba Large 1.7

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following,

ctx 256K~0.109ggeneral
Alfredpros1 model

CodeLLaMa 7B Instruct Solidity

A finetuned 7 billion parameters Code LLaMA - Instruct model to generate Solidity smart contract using 4-bit QLoRA finet

ctx 4K~0.036gcoding
Alibaba1 model

Tongyi DeepResearch 30B A3B

Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activat

ctx 131K~0.0053ggeneral
Anthracite Org1 model

Magnum v4 72B

This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet( and Opus

ctx 33K~0.137ggeneral
Black Forest Labs1 model

FLUX.2 Flex

image

FLUX.2 Flex image generation (Black Forest Labs). Used by the arbi subproduct for ad creatives.

general
ByteDance1 model

UI-TARS 7B

multimodal

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, we

ctx 128K~0.0047gvision
Deepcogito1 model

Cogito v2.1 671B

Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and o

ctx 128K~0.054ggeneral
Essentialai1 model

Rnj 1 Instruct

Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focu

ctx 33K~0.0064greasoning
Gryphe1 model

MythoMax 13B

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge

ctx 4K~0.0026ggeneral
Inception1 model

Mercury 2

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens

ctx 128K~0.013greasoning
Kwaipilot1 model

KAT-Coder-Pro V2

KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-gra

ctx 256K~0.016gcoding
Liquid1 model

LFM2-24B-A2B

LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment

ctx 128K~0.0016ggeneral
Mancer1 model

Weaver (alpha)

An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in

ctx 8K~0.033ggeneral
Nex Agi1 model

DeepSeek V3.1 Nex N1

DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent aut

ctx 131K~0.0072ggeneral
Perceptron1 model

Perceptron Mk1

multimodal

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It a

ctx 33K~0.012greasoning
Prime Intellect1 model

INTELLECT-3

INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervise

ctx 131K~0.012ggeneral
Stepfun1 model

Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) archit

ctx 262K~0.0051ggeneral
Switchpoint1 model

Switchpoint Router

Switchpoint AI's router instantly analyzes your request and directs it to the optimal AI from an ever-evolving library.

ctx 131K~0.046ggeneral
Undi951 model

ReMM SLERP 13B

A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge

ctx 6K~0.020ggeneral
Upstage1 model

Solar Pro 3

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active par

ctx 128K~0.0082ggeneral
Writer1 model

Palmyra X5

Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It d

ctx 1.0M~0.047ggeneral
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