RADAR DES MODÈLES IA
Comparer les modèles d’IA sur une même base
Tous les modèles actuellement référencés par OpenRouter, avec des informations cohérentes sur les modalités, le contexte, les tarifs, la configuration et les fournisseurs.
- PORTÉE DU CATALOGUE
- TOUS PUBLICS
- modèles
- 691
- fournisseurs
- 98
- dernière synchronisation
- 30 oct. 2026
deepseekDeepSeek: DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
- Contexte
- 164K
- Entrée
- text
- Sortie
- text
mistralaiMistral: Mistral Medium 3.1
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
- Contexte
- 131K
- Entrée
- text · image · file
- Sortie
- text
z-aiZ.ai: GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
- Contexte
- 66K
- Entrée
- text · image
- Sortie
- text
openaiOpenAI: GPT-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
- Contexte
- 400K
- Entrée
- text · image · file
- Sortie
- text
openaiOpenAI: GPT-5 (batch)
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
- Contexte
- 400K
- Entrée
- text · image · file
- Sortie
- text
openaiOpenAI: GPT-5 Mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
- Contexte
- 400K
- Entrée
- text · image · file
- Sortie
- text
openaiOpenAI: GPT-5 Mini (batch)
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
- Contexte
- 400K
- Entrée
- text · image · file
- Sortie
- text
openaiOpenAI: GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
- Contexte
- 400K
- Entrée
- text · image · file
- Sortie
- text
openaiOpenAI: GPT-5 Nano (batch)
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
- Contexte
- 400K
- Entrée
- text · image · file
- Sortie
- text
openaiOpenAI: gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
- Contexte
- 131K
- Entrée
- text
- Sortie
- text
openaiOpenAI: gpt-oss-120b (batch)
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
- Contexte
- 131K
- Entrée
- text
- Sortie
- text
openaiOpenAI: 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-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
- Contexte
- 131K
- Entrée
- text
- Sortie
- text
openaiOpenAI: gpt-oss-20b (batch)
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
- Contexte
- 131K
- Entrée
- text
- Sortie
- text
anthropicAnthropic: Claude Opus 4.1
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
- Contexte
- 200K
- Entrée
- image · text · file
- Sortie
- text
anthropicAnthropic: Claude Opus 4.1 (batch)
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
- Contexte
- 200K
- Entrée
- image · text · file
- Sortie
- text
mistralaiMistral: Codestral 2508
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. Blog Post
- Contexte
- 256K
- Entrée
- text · file
- Sortie
- text
qwenQwen: 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 pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...
- Contexte
- 262K
- Entrée
- text
- Sortie
- text
qwenQwen: 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 parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
- Contexte
- 262K
- Entrée
- text
- Sortie
- text
z-aiZ.ai: GLM 4.5
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...
- Contexte
- 131K
- Entrée
- text
- Sortie
- text
z-aiZ.ai: GLM 4.5 Air
GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...
- Contexte
- 131K
- Entrée
- text
- Sortie
- text
qwenQwen: Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
- Contexte
- 128K
- Entrée
- text
- Sortie
- text
qwenQwen: 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 optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
- Contexte
- 262K
- Entrée
- text
- Sortie
- text
bytedanceByteDance: UI-TARS 7B
UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...
- Contexte
- 128K
- Entrée
- image · text
- Sortie
- text
googleGoogle: Gemini 2.5 Flash Lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...
- Contexte
- 1.0M
- Entrée
- text · image · file · audio · video
- Sortie
- text