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
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modèles
691
fournisseurs
98
dernière synchronisation
30 oct. 2026
691 modèles
qwen logoqwen

Qwen: Qwen Image 3 Pro

Qwen Image 3 Pro is an image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with richer world knowledge...

Contexte
66K
Entrée
text · image
Sortie
image
Image en entrée: $0.003 par imageImage en sortie: $0.04 par image
Voir la fiche du modèle →
black-forest-labs logoblack-forest-labs

Black Forest Labs: FLUX 3 Video

FLUX.3 Video is a video generation model from Black Forest Labs. It supports text-to-video, image-guided generation with opening and closing keyframes, and video continuation workflows, making it suited for controlled...

Contexte
Non indiqué
Entrée
text · image · video
Sortie
video
Vidéo en sortie: $0.17 par seconde
Voir la fiche du modèle →
~deepseek logo~deepseek

DeepSeek: DeepSeek V4 Flash Latest

This model always redirects to the latest model in the DeepSeek V4 Flash family.

Contexte
1.0M
Entrée
text
Sortie
text
Entrée: $0.056Sortie: $0.3par million de tokens
Voir la fiche du modèle →
deepseek logodeepseek

DeepSeek: DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

Contexte
1.0M
Entrée
text
Sortie
text
Entrée: $0.119Sortie: $0.238par million de tokens
Voir la fiche du modèle →
thinkingmachines logothinkingmachines

Thinking Machines: Inkling Small

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

Contexte
524K
Entrée
text · image · audio
Sortie
text
Entrée: $0.45Sortie: $1.2par million de tokens
Voir la fiche du modèle →
thinkingmachines logothinkingmachines

Thinking Machines: Inkling Small (free)

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

Contexte
1.0M
Entrée
text · image · audio
Sortie
text
Entrée: GratuitSortie: Gratuitpar million de tokens
Voir la fiche du modèle →
minimax logominimax

MiniMax: H3

MiniMax H3 is a lightweight, open-weights video generation model from MiniMax. It is designed for precise multimodal editing and controlled content generation, including instruction-guided edits, text and brand rendering, and...

Contexte
Non indiqué
Entrée
text · image · video · audio
Sortie
video
Vidéo en sortie: $0.13 par secondeReference Image (first 5 free): $0.04 par image
Voir la fiche du modèle →
fish-audio logofish-audio

Fish Audio: Transcribe 1

Transcribe 1 is a speech-to-text model from Fish Audio. It is suited for audio transcription with automatic language detection and can return timestamped word-level segments when alignment details are requested.

Contexte
Non indiqué
Entrée
audio
Sortie
transcription
Durée audio: $0.0001 par seconde
Voir la fiche du modèle →
fish-audio logofish-audio

Fish Audio: S1

S1 is a multilingual text-to-speech model from Fish Audio. It is suited for voice applications that need broad emotional expression, using parenthetical controls to guide speaking style across its supported...

Contexte
Non indiqué
Entrée
text
Sortie
speech
Octets UTF-8: $15 par million d’octets UTF-8
Voir la fiche du modèle →
fish-audio logofish-audio

Fish Audio: S2 Pro

S2 Pro is a multilingual text-to-speech model from Fish Audio. It is suited for expressive narration and multi-speaker dialogue, with natural-language controls for speaking style and emotion.

Contexte
Non indiqué
Entrée
text
Sortie
speech
Octets UTF-8: $15 par million d’octets UTF-8
Voir la fiche du modèle →
fish-audio logofish-audio

Fish Audio: S2.1 Pro Free (free)

S2.1 Pro Free is the no-cost variant of Fish Audio S2.1 Pro, intended for testing, prototyping, and low-volume applications. It provides the same synthesis capabilities without production latency or availability...

Contexte
Non indiqué
Entrée
text
Sortie
speech
Entrée: Gratuit par million de tokensSortie: Gratuit par million de tokens
Voir la fiche du modèle →
fish-audio logofish-audio

Fish Audio: S2.1 Pro

S2.1 Pro is a production-oriented text-to-speech model from Fish Audio. It is suited for multilingual voice applications, expressive narration, and dialogue synthesis, with open-ended natural-language controls for speaking style and...

Contexte
Non indiqué
Entrée
text
Sortie
speech
Octets UTF-8: $15 par million d’octets UTF-8
Voir la fiche du modèle →
runway logorunway

Runway: Aleph 2.0

Runway Aleph 2.0 is an in-context video editing model from Runway. It applies text instructions and keyframe-guided edits across existing footage while preserving details that are not meant to change....

Contexte
Non indiqué
Entrée
text · image · video
Sortie
video
Vidéo en sortie: $0.28 par seconde
Voir la fiche du modèle →
runway logorunway

Runway: Gen-4.5

Runway Gen-4.5 is a video generation model from Runway for text-to-video and image-to-video workflows. It is designed for cinematic scene creation with strong motion quality, visual fidelity, and prompt adherence....

Contexte
Non indiqué
Entrée
text · image
Sortie
video
Vidéo en sortie: $0.12 par seconde
Voir la fiche du modèle →
qwen logoqwen

Qwen: Qwen3.7 Flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

Contexte
1M
Entrée
text · image · video
Sortie
text
Entrée: $0.03Sortie: $0.13par million de tokens
Voir la fiche du modèle →
voyageai logovoyageai

VoyageAI by MongoDB: rerank-2.5-lite

rerank-2.5-lite is a reranker optimized for both latency and quality, delivering a 7.16% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5...

Contexte
32K
Entrée
text
Sortie
rerank
Entrée: $0.02 par million de tokens en entrée
Voir la fiche du modèle →
voyageai logovoyageai

VoyageAI 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
Entrée: $0.05 par million de tokens en entrée
Voir la fiche du modèle →
voyageai logovoyageai

VoyageAI 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
Entrée: $0.12par million de tokens
Voir la fiche du modèle →
voyageai logovoyageai

VoyageAI 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 t voyage-4-lite here: mongodb.com/products/platform/ai-search-and-retrieval/models

Contexte
32K
Entrée
text
Sortie
embeddings
Entrée: $0.02par million de tokens
Voir la fiche du modèle →
voyageai logovoyageai

VoyageAI by MongoDB: voyage-4

voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embedd about voyage-4 here: mongodb.com/products/platform/ai-search-and-retrieval/models

Contexte
32K
Entrée
text
Sortie
embeddings
Entrée: $0.06par million de tokens
Voir la fiche du modèle →
voyageai logovoyageai

VoyageAI 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 voyage-4-large here: mongodb.com/products/platform/ai-search-and-retrieval/models

Contexte
32K
Entrée
text
Sortie
embeddings
Entrée: $0.12par million de tokens
Voir la fiche du modèle →
anthropic logoanthropic

Anthropic: Claude 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
Entrée: $5Sortie: $25par million de tokens
Voir la fiche du modèle →
anthropic logoanthropic

Anthropic: Claude 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
Entrée: $2.5Sortie: $12.5par million de tokens
Voir la fiche du modèle →
microsoft logomicrosoft

Microsoft AI: MAI-Image-2.5 Pro

Microsoft AI'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
Entrée: $5 par million de tokensImage en sortie: $108 par million de tokens
Voir la fiche du modèle →