MODEL RADAR · OPENROUTER
The AI model catalog, made comparable.
Search every model currently listed by OpenRouter. Compare modalities, context windows, pricing, configuration, and provider facts from one consistent snapshot.
- CATALOG SCOPE
- ALL PUBLIC
- models
- 631
- providers
- 86
- last synced
- Sep 29, 2026
inclusionaiinclusionAI: Ling 3.0 Flash Sante (free)
Ling 3.0 Flash Sante is a health and medicine-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for...
- Context
- 262K
- Input
- text
- Output
- text
qwenQwen: Qwen3.8 Max (0902)
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
- Context
- 1M
- Input
- text · image · video
- Output
- text
microsoftMicrosoft AI: MAI-Transcribe 2
MAI-Transcribe 2 is a multilingual speech-to-text model from Microsoft AI, ranked #1 on the FLEURS multilingual benchmark. It supports 60 languages with automatic language identification, code switching for mixed-language speech,...
- Context
- Not provided
- Input
- audio
- Output
- transcription
metaMeta: Muse Spark 1.3 Contributor
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...
- Context
- 1.0M
- Input
- text · image · video · file
- Output
- text
metaMeta: Muse Spark 1.3
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...
- Context
- 1.0M
- Input
- text · image · video · file
- Output
- text
googleGoogle: Gemini 3.8 Flash
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
- Context
- 1.0M
- Input
- text · image · video · file · audio
- Output
- text
googleGoogle: Gemini 3.8 Flash (batch)
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
- Context
- 1.0M
- Input
- text · image · video · file · audio
- Output
- text
minimaxMiniMax: H3 Max
MiniMax H3 Max is a video-generation model from MiniMax, jointly released with fal.ai. Derived through additional training from MiniMax H3, it is designed for faster text-to-video and image-to-video generation with...
- Context
- Not provided
- Input
- text · image
- Output
- video
anthropicAnthropic: Claude Fable 5.1
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
- Context
- 1M
- Input
- text · image · file
- Output
- text
anthropicAnthropic: Claude Fable 5.1 (batch)
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...
- Context
- 1M
- Input
- text · image · file
- Output
- text
ibm-graniteIBM: Granite 4.2 8B
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...
- Context
- 131K
- Input
- text
- Output
- text
tencentTencent: Hy4 preview
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...
- Context
- 1.0M
- Input
- text
- Output
- text
alibabaAlibaba: Wan 3.0 Prime
Wan 3.0 Prime is a fast-mode variant of Wan 3.0 from Alibaba. It supports text-to-video and first-frame image-to-video generation.
- Context
- Not provided
- Input
- text · image
- Output
- video
inclusionaiinclusionAI: Ling 3.0 Flash Fin
Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...
- Context
- 262K
- Input
- text
- Output
- text
~z-aiZ.ai: GLM Flash Latest
This model always redirects to the latest model in the GLM Flash family.
- Context
- 1.3M
- Input
- text · image · video
- Output
- text
qwenQwen: Qwen3.8 Flash
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
- Context
- 1M
- Input
- text · image · video
- Output
- text
metaMeta: Muse Image
Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking...
- Context
- 66K
- Input
- text · image
- Output
- image
z-aiZ.ai: GLM 5.3 Flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
- Context
- 1.3M
- Input
- text · image · video
- Output
- text
z-aiZ.ai: GLM 5.3 Flash (batch)
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
- Context
- 1.0M
- Input
- text · image · video
- Output
- text
recraftRecraft: Recraft V4 Styles Pro
Recraft V4 Styles Pro is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's...
- Context
- 66K
- Input
- text · image
- Output
- image
recraftRecraft: Recraft V4 Styles Vector
Recraft V4 Styles Vector is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's...
- Context
- 66K
- Input
- text · image
- Output
- image
recraftRecraft: Recraft V4 Styles Pro Vector
Recraft V4 Styles Pro Vector is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the...
- Context
- 66K
- Input
- text · image
- Output
- image
recraftRecraft: Recraft V4 Styles
Recraft V4 Styles is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's rendering...
- Context
- 66K
- Input
- text · image
- Output
- image
alibabaAlibaba: Wan 3.0
Wan 3.0 is a video generation model from Alibaba for text-to-video, image-to-video, and reference-guided video generation. It produces 480p, 720p, or 1080p video with durations from 2 to 30 seconds.
- Context
- Not provided
- Input
- text · image
- Output
- video