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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- 31 août 2026
voyageaiVoyageAI by MongoDB: rerank-2.5
rerank-2.5 is a cutting-edge reranker optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5 by 12.70%...
- Contexte
- 32K
- Entrée
- text
- Sortie
- rerank
voyageaiVoyageAI by MongoDB: voyage-multimodal-3.5
voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities. It delivers excellent performance for...
- Contexte
- 32K
- Entrée
- text · image
- Sortie
- embeddings
voyageaiVoyageAI by MongoDB: voyage-4-lite
voyage-4-lite is a lightweight, general-purpose embedding model optimized for low latency and cost. Enabled by Matryoshka learning and quantization-aware training, voyage-4-lite supports embeddings in 2048, 1024, 512, and 256 dimensions,...
- Contexte
- 32K
- Entrée
- text
- Sortie
- embeddings
voyageaiVoyageAI by MongoDB: voyage-4
voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options. Learn more...
- Contexte
- 32K
- Entrée
- text
- Sortie
- embeddings
voyageaiVoyageAI by MongoDB: voyage-4-large
voyage-4-large is a state-of-the-art general-purpose and multilingual embedding optimized for retrieval quality. Enabled by Matryoshka learning and quantization-aware training, voyage-4-large supports embeddings in 2048, 1024, 512, and 256 dimensions, with...
- Contexte
- 32K
- Entrée
- text
- Sortie
- embeddings
anthropicClaude Opus 5 (Fast)
Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode
- Contexte
- 1M
- Entrée
- text · image · file
- Sortie
- text
anthropicClaude Opus 5
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
- Contexte
- 1M
- Entrée
- text · image · file
- Sortie
- text
anthropicClaude Opus 5 (batch)
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
- Contexte
- 1M
- Entrée
- text · image · file
- Sortie
- text
microsoftMicrosoft: MAI-Image-2.5 Pro
Microsoft's MAI-Image-2.5 is a high-quality image generation model available via Azure AI Foundry. It produces photorealistic and artistic images from text prompts with support for various aspect ratios.
- Contexte
- 4K
- Entrée
- text · image
- Sortie
- image
microsoftMicrosoft: MAI-Voice-2-Flash
MAI-Voice-2-Flash is a low-latency text-to-speech model from Microsoft for voice agents, assistants, call centers, accessibility, narration, and other interactive applications. It generates expressive 24 kHz mono speech across 15 languages...
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
inclusionaiLing-3.0-flash
Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token. The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers...
- Contexte
- 262K
- Entrée
- text
- Sortie
- text
qwenQwen: Qwen-Audio-3.0-TTS Flash
Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
qwenQwen: Qwen-Audio-3.0-TTS Plus
Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
x-aiSpaceXAI: Grok STT 1.0
Grok STT is SpaceXAI's speech-to-text model, available via the REST /v1/stt endpoint. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.
- Contexte
- Non indiqué
- Entrée
- audio
- Sortie
- transcription
poolsidePoolside: Laguna S 2.1
Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
- Contexte
- 1.0M
- Entrée
- text
- Sortie
- text
poolsidePoolside: Laguna S 2.1 (free)
Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
- Contexte
- 262K
- Entrée
- text
- Sortie
- text
googleGoogle: Gemini 3.6 Flash
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
- Contexte
- 1.0M
- Entrée
- text · image · video · file · audio
- Sortie
- text
googleGoogle: Gemini 3.6 Flash (batch)
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
- Contexte
- 1.0M
- Entrée
- text · image · video · file · audio
- Sortie
- text
googleGoogle: Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
- Contexte
- 1.0M
- Entrée
- text · image · video · file · audio
- Sortie
- text
googleGoogle: Gemini 3.5 Flash Lite (batch)
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
- Contexte
- 1.0M
- Entrée
- text · image · video · file · audio
- Sortie
- text
kreaKrea: Krea 2 Large
Krea 2 Large is Krea's high-capability image generation model, more than twice the size of Krea 2 Medium. Its lighter post-training gives images a rawer, more textured, and flexible character,...
- Contexte
- 66K
- Entrée
- text · image
- Sortie
- image
kreaKrea: Krea 2 Medium
Krea 2 Medium is Krea's balanced, cost-efficient image generation model and a practical starting point for a broad range of use cases. Its extensive post-training supports stable, consistent generations, with...
- Contexte
- 66K
- Entrée
- text · image
- Sortie
- image
kreaKrea: Krea 2 Medium Turbo
Krea 2 Medium Turbo is a distilled, speed-focused variant of Krea 2 Medium from Krea. It is designed for rapid iteration and graphic design exploration where fast generation is the...
- Contexte
- 66K
- Entrée
- text · image
- Sortie
- image
meituanMeituan: LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...
- Contexte
- 1.0M
- Entrée
- text
- Sortie
- text