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
- 534
- providers
- 75
- last synced
- Aug 31, 2026
bytedance-seedByteDance Seed: Seedream 5.0 Lite
Seedream 5.0 Lite is an image generation model from ByteDance Seed. It is suited for professional visual creation that benefits from web-connected retrieval, complex-prompt comprehension, visual references, and broad knowledge...
- Context
- Not provided
- Input
- text · image
- Output
- image
googleGoogle: Gemini 3.7 Flash
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
- Context
- 1.0M
- Input
- text · image · video · file · audio
- Output
- text
googleGoogle: Gemini 3.7 Flash (batch)
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
- Context
- 1.0M
- Input
- text · image · video · file · audio
- Output
- text
voyageaiVoyageAI by MongoDB: voyage-code-4
voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256...
- Context
- 32K
- Input
- text
- Output
- embeddings
qwenQwen3 Reranker 8B
Qwen3 Reranker 8B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG...
- Context
- 41K
- Input
- text
- Output
- rerank
qwenQwen: Qwen3 ASR 1.7B
Qwen3 ASR 1.7B is an automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline inference...
- Context
- Not provided
- Input
- audio
- Output
- transcription
qwenQwen: Qwen3 ASR 0.6B
Qwen3 ASR 0.6B is a compact automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline...
- Context
- Not provided
- Input
- audio
- Output
- transcription
bytedance-seedByteDance Seed: Seedream 5.0 Pro
Seedream 5.0 Pro is an image generation and editing model from ByteDance Seed. It is suited for commercial visual-production workflows that require precise editing control, lifelike scenes, and natural rendering.
- Context
- Not provided
- Input
- text · image
- Output
- image
deepgramDeepgram: Flux TTS (free)
Flux TTS is a text-to-speech model from Deepgram. It is suited for natural, expressive English speech synthesis across Deepgram's Flux voice catalog.
- Context
- Not provided
- Input
- text
- Output
- speech
bytedanceByteDance: Seedance 2.0 Mini
Seedance 2.0 Mini is a video generation model from ByteDance. It supports text-to-video, image-to-video with first and last frame control, and multimodal reference-to-video with image, video, and audio inputs. It...
- Context
- Not provided
- Input
- text · image · video · audio
- Output
- video
bytedance-seedByteDance Seed: Seed 2.1 Turbo
Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...
- Context
- 262K
- Input
- text · image · video
- Output
- text
qwenQwen: Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is...
- Context
- 1.0M
- Input
- text
- Output
- text
qwenQwen: Qwen3.8 2.4T A95B (batch)
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is...
- Context
- 1.0M
- Input
- text
- Output
- text
bytedance-seedByteDance Seed: Seed-2.0-Code
Seed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tools such as Claude...
- Context
- 262K
- Input
- text · image · video
- Output
- text
deepseekDeepSeek: DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
- Context
- 1.0M
- Input
- text
- Output
- text
deepseekDeepSeek: DeepSeek V4 Pro 0813 (batch)
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
- Context
- 1.0M
- Input
- text
- Output
- text
x-aiSpaceXAI: Grok 4.6
Grok 4.6 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.
- Context
- 500K
- Input
- text · image · file
- Output
- text
x-aixAI: Grok Imagine Image 2.0
Grok Imagine Image 2.0 is an image generation and editing model from xAI. It is suited for creating images from text prompts and editing images from references, with low and...
- Context
- 66K
- Input
- text · image
- Output
- image
liquidLiquidAI: LFM2.5-2.6B (free)
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
- Context
- 66K
- Input
- text
- Output
- text
nvidiaNVIDIA: Nemotron 3.5 Lightning
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
- Context
- 262K
- Input
- text
- Output
- text
nvidiaNVIDIA: Nemotron 3.5 Lightning (free)
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
- Context
- 1M
- Input
- text
- Output
- text
sakanaSakana: Sakana Namazu
Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...
- Context
- 262K
- Input
- text · image · file
- Output
- text
upstageUpstage: Solar Pro 4
Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in office productivity, document-intensive...
- Context
- 524K
- Input
- text
- Output
- text
metaMeta: Muse Glimmer 30B
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...
- Context
- 131K
- Input
- text · image
- Output
- text