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.
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- modèles
- 691
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- 98
- dernière synchronisation
- 31 oct. 2026
tbcTBC: mischief 1
TBC mischief 1 is the world's first neuron-derived video model from The Biological Computing Co. It supports image to video and is a fast and affordable way to bring ideas...
- Contexte
- Non indiqué
- Entrée
- text · image
- Sortie
- video
basetenBaseten: Joey 1
Joey 1 is a 2B decision model from Base Labs, Baseten's research team, built on Qwen3.5-2B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...
- Contexte
- 16K
- Entrée
- text · image
- Sortie
- decisions
sourcefulSourceful: Riverflow V2.6 Pro
Riverflow 2.6 Pro is the flagship model of Sourceful's Riverflow 2.6 lineup, a unified text-to-image and image-to-image family that treats generation as a production workflow: an integrated reasoning model plans...
- Contexte
- 33K
- Entrée
- text · image
- Sortie
- image
nvidiaNVIDIA: Nemotron 3.5 Transcribe
Nemotron 3.5 Transcribe is an open-weight speech recognition model from NVIDIA, a 30B mixture-of-experts with about 4B active parameters. It transcribes recordings of up to one hour in 40 languages,...
- Contexte
- Non indiqué
- Entrée
- audio
- Sortie
- transcription
assemblyaiAssemblyAI: TTS 1
AssemblyAI TTS 1 is a text-to-speech model from AssemblyAI. It is suited for voice agents, narration, and multilingual applications, and draws on a public library of several thousand voices across...
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
particle-aiParticle AI: Particle-1
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...
- Contexte
- 1.0M
- Entrée
- text · image
- Sortie
- text
liquidLiquidAI: d1.1
d1.1 is Liquid AI's structured decision model, served as a System One endpoint and the successor to d1. Send a state along with typed questions, and it returns a choice,...
- Contexte
- 66K
- Entrée
- text · image
- Sortie
- decisions
~liquidLiquidAI: d1-ultra Latest
This model always redirects to the latest model in the d1-ultra family.
- Contexte
- 33K
- Entrée
- text · image
- Sortie
- decisions
~liquidLiquidAI: d1 Latest
This model always redirects to the latest model in the d1 family.
- Contexte
- 66K
- Entrée
- text · image
- Sortie
- decisions
amazonAmazon: Titan Multimodal Embeddings G1
Amazon Titan Multimodal Embeddings G1 embeds text, images, or text and image together into a shared vector space for multimodal search and recommendation. Images are sent as base64 (up to...
- Contexte
- 0K
- Entrée
- text · image
- Sortie
- embeddings
amazonAmazon: Titan Embeddings G1 - Text
Amazon Titan Embeddings G1 - Text is the first-generation Titan text embedding model. It accepts up to 8,192 tokens per input and returns fixed 1,536-dimension vectors; the dimensions parameter is...
- Contexte
- 8K
- Entrée
- text
- Sortie
- embeddings
amazonAmazon: Titan Text Embeddings V2
Amazon Titan Text Embeddings V2 is a text embedding model for retrieval, search, and clustering. It accepts up to 8,192 tokens per input and returns normalized vectors of 1,024 dimensions...
- Contexte
- 8K
- Entrée
- text
- Sortie
- embeddings
openaiOpenAI: GPT-6.1 Terra Pro
GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
- Contexte
- 1.1M
- Entrée
- file · image · text
- Sortie
- text
openaiOpenAI: GPT-6.1 Terra Pro (batch)
GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
- Contexte
- 1.1M
- Entrée
- file · image · text
- Sortie
- text
openaiOpenAI: GPT-6.1 Terra
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
- Contexte
- 1.1M
- Entrée
- file · image · text
- Sortie
- text
openaiOpenAI: GPT-6.1 Terra (batch)
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
- Contexte
- 1.1M
- Entrée
- file · image · text
- Sortie
- text
heygenHeyGen: HeyGen Voice Turbo
HeyGen Voice Turbo is a lower-latency version of HeyGen Voice, HeyGen's text-to-speech model. It has the same 10 default voices, or bring your own HeyGen key to use voice clones...
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
heygenHeyGen: HeyGen Voice Turbo (free)
HeyGen Voice Turbo is a lower-latency version of HeyGen Voice, HeyGen's text-to-speech model. It has the same 10 default voices, or bring your own HeyGen key to use voice clones...
- Contexte
- Non indiqué
- Entrée
- text
- Sortie
- speech
moonshotaiMoonshotAI: Kimi K3.1 Pro
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...
- Contexte
- 1.0M
- Entrée
- text · image · video
- Sortie
- text
recursiveRecursive: Flint (free)
Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited...
- Contexte
- 262K
- Entrée
- text
- Sortie
- text
basetenBaseten: Mammoth 1
Mammoth 1 is a 27B decision model from Base Labs, Baseten's research team, built on Qwen3.5-27B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...
- Contexte
- 16K
- Entrée
- text · image
- Sortie
- decisions
basetenBaseten: Elephant 1
Elephant 1 is a 9B decision model from Base Labs, Baseten's research team, built on Qwen3.5-9B. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal...
- Contexte
- 16K
- Entrée
- text · image
- Sortie
- decisions
nace-aiNace.AI: Drex Max
Drex Max is the largest decision model from Nace.AI, the successor to Drex v2.0. Given a state (text, JSON, or up to four images) and typed questions (yes/no, multiple choice,...
- Contexte
- 262K
- Entrée
- text · image
- Sortie
- decisions
nvidiaNVIDIA: Nemotron 3.5 Embed 1B (free)
Nemotron 3.5 Embed 1B is a multimodal embedding model from NVIDIA for multilingual retrieval over text and document page images (tables, charts, infographics). Queries are text and documents can be...
- Contexte
- 33K
- Entrée
- text · image
- Sortie
- embeddings