モデルレーダー · OPENROUTER
AIモデルを、同じ基準で比較。
OpenRouterで現在公開されているすべてのモデルを検索し、モダリティ、コンテキスト、料金、設定、プロバイダー情報を比較できます。
- カタログ範囲
- 公開モデルすべて
- モデル
- 534
- プロバイダー
- 75
- 最終同期
- 2026/08/31
openaiOpenAI: GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
- コンテキスト
- 400K
- 入力
- image · text
- 出力
- text
moonshotaiMoonshotAI: Kimi K2 Thinking
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
- コンテキスト
- 262K
- 入力
- text
- 出力
- text
amazonAmazon: Nova Premier 1.0
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
- コンテキスト
- 1M
- 入力
- text · image
- 出力
- text
mistralaiMistral: Mistral Embed 2312
Mistral Embed is a specialized embedding model for text data, optimized for semantic search and RAG applications. Developed by Mistral AI in late 2023, it produces 1024-dimensional vectors that effectively...
- コンテキスト
- 8K
- 入力
- text
- 出力
- embeddings
googleGoogle: Gemini Embedding 001
gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark...
- コンテキスト
- 20K
- 入力
- text
- 出力
- embeddings
openaiOpenAI: Text Embedding Ada 002
text-embedding-ada-002 is OpenAI's legacy text embedding model.
- コンテキスト
- 8K
- 入力
- text
- 出力
- embeddings
mistralaiMistral: Codestral Embed 2505
Mistral Codestral Embed is specially designed for code, perfect for embedding code databases, repositories, and powering coding assistants with state-of-the-art retrieval.
- コンテキスト
- 8K
- 入力
- text
- 出力
- embeddings
openaiOpenAI: Text Embedding 3 Large
text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between two...
- コンテキスト
- 8K
- 入力
- text
- 出力
- embeddings
openaiOpenAI: Text Embedding 3 Small
text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces...
- コンテキスト
- 8K
- 入力
- text
- 出力
- embeddings
perplexityPerplexity: Sonar Pro Search
Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...
- コンテキスト
- 200K
- 入力
- text · image
- 出力
- text
mistralaiMistral: Voxtral Small 24B 2507
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...
- コンテキスト
- 33K
- 入力
- text · audio · file
- 出力
- text
openaiOpenAI: gpt-oss-safeguard-20b
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...
- コンテキスト
- 131K
- 入力
- text
- 出力
- text
qwenQwen: Qwen3 Embedding 8B
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text...
- コンテキスト
- 33K
- 入力
- text
- 出力
- embeddings
qwenQwen: Qwen3 Embedding 4B
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text...
- コンテキスト
- 33K
- 入力
- text
- 出力
- embeddings
minimaxMiniMax: MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
- コンテキスト
- 205K
- 入力
- text
- 出力
- text
qwenQwen: Qwen3 VL 32B Instruct
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...
- コンテキスト
- 131K
- 入力
- text · image
- 出力
- text
ibm-graniteIBM: Granite 4.0 Micro
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...
- コンテキスト
- 131K
- 入力
- text
- 出力
- text
openaiOpenAI: GPT-5 Image Mini
GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by GPT-5 Mini, with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...
- コンテキスト
- 400K
- 入力
- file · image · text
- 出力
- image · text
anthropicAnthropic: Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
- コンテキスト
- 200K
- 入力
- text · image · file
- 出力
- text
anthropicAnthropic: Claude Haiku 4.5 (batch)
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
- コンテキスト
- 200K
- 入力
- text · image · file
- 出力
- text
qwenQwen: Qwen3 VL 8B Thinking
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...
- コンテキスト
- 131K
- 入力
- image · text
- 出力
- text
qwenQwen: Qwen3 VL 8B Instruct
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...
- コンテキスト
- 262K
- 入力
- image · text
- 出力
- text
openaiOpenAI: GPT-5 Image
GPT-5 Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...
- コンテキスト
- 400K
- 入力
- image · text · file
- 出力
- image · text
googleGoogle: Nano Banana (Gemini 2.5 Flash Image)
Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...
- コンテキスト
- 33K
- 入力
- image · text
- 出力
- image · text