MODEL RADAR · OPENROUTER

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.

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631
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86
dernière synchronisation
29 sept. 2026
631 modèles
openai logoopenai

OpenAI: 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
Entrée: $0.4Sortie: $1.6par million de tokens
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openai logoopenai

OpenAI: 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
Entrée: $0.2Sortie: $0.8par million de tokens
Voir la fiche du modèle →
openai logoopenai

OpenAI: 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
Entrée: $0.1Sortie: $0.4par million de tokens
Voir la fiche du modèle →
openai logoopenai

OpenAI: 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
Entrée: $0.05Sortie: $0.2par million de tokens
Voir la fiche du modèle →
meta-llama logometa-llama

Meta: 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
1.0M
Entrée
text · image
Sortie
text
Entrée: $0.1875Sortie: $0.6525par million de tokens
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meta-llama logometa-llama

Meta: 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
Entrée: $0.1Sortie: $0.3par million de tokens
Voir la fiche du modèle →
deepseek logodeepseek

DeepSeek: DeepSeek V3 0324

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the DeepSeek V3 model and performs really well...

Contexte
164K
Entrée
text
Sortie
text
Entrée: $0.29Sortie: $1.14par million de tokens
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openai logoopenai

OpenAI: o1-pro

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...

Contexte
200K
Entrée
text · image · file
Sortie
text
Entrée: $150Sortie: $600par million de tokens
Voir la fiche du modèle →
mistralai logomistralai

Mistral: Mistral Small 3.1 24B

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...

Contexte
128K
Entrée
text · image
Sortie
text
Entrée: $0.351Sortie: $0.555par million de tokens
Voir la fiche du modèle →
google logogoogle

Google: Gemma 3 4B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

Contexte
131K
Entrée
text · image
Sortie
text
Entrée: $0.05Sortie: $0.1par million de tokens
Voir la fiche du modèle →
google logogoogle

Google: Gemma 3 12B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

Contexte
131K
Entrée
text · image
Sortie
text
Entrée: $0.05Sortie: $0.15par million de tokens
Voir la fiche du modèle →
cohere logocohere

Cohere: Command A

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary...

Contexte
256K
Entrée
text
Sortie
text
Entrée: $2.5Sortie: $10par million de tokens
Voir la fiche du modèle →
rekaai logorekaai

Reka Flash 3

Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...

Contexte
66K
Entrée
text
Sortie
text
Entrée: $0.1Sortie: $0.2par million de tokens
Voir la fiche du modèle →
google logogoogle

Google: Gemma 3 27B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

Contexte
131K
Entrée
text · image
Sortie
text
Entrée: $0.08Sortie: $0.45par million de tokens
Voir la fiche du modèle →
thedrummer logothedrummer

TheDrummer: Skyfall 36B V2

Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent storytelling.

Contexte
33K
Entrée
text
Sortie
text
Entrée: $0.55Sortie: $0.8par million de tokens
Voir la fiche du modèle →
perplexity logoperplexity

Perplexity: Sonar Reasoning Pro

Note: Sonar Pro pricing includes Perplexity search pricing. See details here Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...

Contexte
128K
Entrée
text · image
Sortie
text
Entrée: $2Sortie: $8par million de tokens
Voir la fiche du modèle →
perplexity logoperplexity

Perplexity: Sonar Pro

Note: Sonar Pro pricing includes Perplexity search pricing. See details here For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...

Contexte
200K
Entrée
text · image
Sortie
text
Entrée: $3Sortie: $15par million de tokens
Voir la fiche du modèle →
perplexity logoperplexity

Perplexity: Sonar Deep Research

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

Contexte
128K
Entrée
text
Sortie
text
Entrée: $2Sortie: $8par million de tokens
Voir la fiche du modèle →
mistralai logomistralai

Mistral: Saba

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...

Contexte
33K
Entrée
text · file
Sortie
text
Entrée: $0.2Sortie: $0.6par million de tokens
Voir la fiche du modèle →
openai logoopenai

OpenAI: o3 Mini High

OpenAI o3-mini-high is the same model as o3-mini with reasoningeffort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...

Contexte
200K
Entrée
text · file
Sortie
text
Entrée: $1.1Sortie: $4.4par million de tokens
Voir la fiche du modèle →
aion-labs logoaion-labs

AionLabs: 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-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model...

Contexte
33K
Entrée
text
Sortie
text
Entrée: $0.8Sortie: $1.6par million de tokens
Voir la fiche du modèle →
qwen logoqwen

Qwen: Qwen2.5 VL 72B Instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

Contexte
128K
Entrée
text · image
Sortie
text
Entrée: $0.8Sortie: $1par million de tokens
Voir la fiche du modèle →
qwen logoqwen

Qwen: Qwen-Plus

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

Contexte
1M
Entrée
text
Sortie
text
Entrée: $0.26Sortie: $0.78par million de tokens
Voir la fiche du modèle →
openai logoopenai

OpenAI: o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoningeffort parameter, which can be set to...

Contexte
200K
Entrée
text · file
Sortie
text
Entrée: $1.1Sortie: $4.4par million de tokens
Voir la fiche du modèle →