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
- 96
- dernière synchronisation
- 26 oct. 2026
minimaxMiniMax: MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
- Contexte
- 1M
- Entrée
- text
- Sortie
- text
googleGoogle: Gemini 2.5 Flash
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
- Contexte
- 1.0M
- Entrée
- file · image · text · audio · video
- Sortie
- text
googleGoogle: Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
- Contexte
- 1.0M
- Entrée
- text · image · file · audio · video
- Sortie
- text
openaiOpenAI: o3 Pro
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
- Contexte
- 200K
- Entrée
- text · file · image
- Sortie
- text
googleGoogle: Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
- Contexte
- 1.0M
- Entrée
- file · image · text · audio
- Sortie
- text
deepseekDeepSeek: R1 0528
May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
- Contexte
- 164K
- Entrée
- text
- Sortie
- text
mistralaiMistral: Mistral Medium 3
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...
- Contexte
- 131K
- Entrée
- text · image · file
- Sortie
- text
meta-llamaMeta: Llama Guard 4 12B
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
- Contexte
- 164K
- Entrée
- image · text
- Sortie
- text
qwenQwen: Qwen3 30B A3B
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...
- Contexte
- 41K
- Entrée
- text
- Sortie
- text
qwenQwen: Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
- Contexte
- 41K
- Entrée
- text
- Sortie
- text
qwenQwen: Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
- Contexte
- 131K
- Entrée
- text
- Sortie
- text
openaiOpenAI: o4 Mini High
OpenAI o4-mini-high is the same model as o4-mini with reasoningeffort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...
- Contexte
- 200K
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: o3
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
- Contexte
- 200K
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: o3 (batch)
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
- Contexte
- 200K
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: o4 Mini
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
- Contexte
- 200K
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: o4 Mini (batch)
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
- Contexte
- 200K
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
- Contexte
- 1.0M
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: GPT-4.1 (batch)
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
- Contexte
- 1.0M
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: GPT-4.1 Mini
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
- Contexte
- 1.0M
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: GPT-4.1 Mini (batch)
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
- Contexte
- 1.0M
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: GPT-4.1 Nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
- Contexte
- 1.0M
- Entrée
- image · text · file
- Sortie
- text
openaiOpenAI: GPT-4.1 Nano (batch)
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
- Contexte
- 1.0M
- Entrée
- image · text · file
- Sortie
- text
meta-llamaMeta: Llama 4 Maverick
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
- Contexte
- 524K
- Entrée
- text · image
- Sortie
- text
meta-llamaMeta: Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
- Contexte
- 1.3M
- Entrée
- text · image
- Sortie
- text