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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
voyageaiVoyageAI 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%...
- コンテキスト
- 32K
- 入力
- text
- 出力
- rerank
voyageaiVoyageAI 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...
- コンテキスト
- 32K
- 入力
- text · image
- 出力
- embeddings
voyageaiVoyageAI 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 in 2048, 1024, 512, and 256 dimensions,...
- コンテキスト
- 32K
- 入力
- text
- 出力
- embeddings
voyageaiVoyageAI by MongoDB: voyage-4
voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options. Learn more...
- コンテキスト
- 32K
- 入力
- text
- 出力
- embeddings
voyageaiVoyageAI 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 in 2048, 1024, 512, and 256 dimensions, with...
- コンテキスト
- 32K
- 入力
- text
- 出力
- embeddings
anthropicClaude Opus 5 (Fast)
Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
anthropicClaude 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...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
anthropicClaude 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...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
microsoftMicrosoft: MAI-Image-2.5 Pro
Microsoft'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.
- コンテキスト
- 4K
- 入力
- text · image
- 出力
- image
microsoftMicrosoft: MAI-Voice-2-Flash
MAI-Voice-2-Flash is a low-latency text-to-speech model from Microsoft for voice agents, assistants, call centers, accessibility, narration, and other interactive applications. It generates expressive 24 kHz mono speech across 15 languages...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
inclusionaiLing-3.0-flash
Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token. The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers...
- コンテキスト
- 262K
- 入力
- text
- 出力
- text
qwenQwen: Qwen-Audio-3.0-TTS Flash
Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
qwenQwen: Qwen-Audio-3.0-TTS Plus
Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
x-aiSpaceXAI: Grok STT 1.0
Grok STT is SpaceXAI's speech-to-text model, available via the REST /v1/stt endpoint. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.
- コンテキスト
- 情報なし
- 入力
- audio
- 出力
- transcription
poolsidePoolside: Laguna S 2.1
Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
- コンテキスト
- 1.0M
- 入力
- text
- 出力
- text
poolsidePoolside: Laguna S 2.1 (free)
Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
- コンテキスト
- 262K
- 入力
- text
- 出力
- text
googleGoogle: Gemini 3.6 Flash
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
- コンテキスト
- 1.0M
- 入力
- text · image · video · file · audio
- 出力
- text
googleGoogle: Gemini 3.6 Flash (batch)
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
- コンテキスト
- 1.0M
- 入力
- text · image · video · file · audio
- 出力
- text
googleGoogle: Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
- コンテキスト
- 1.0M
- 入力
- text · image · video · file · audio
- 出力
- text
googleGoogle: Gemini 3.5 Flash Lite (batch)
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
- コンテキスト
- 1.0M
- 入力
- text · image · video · file · audio
- 出力
- text
kreaKrea: Krea 2 Large
Krea 2 Large is Krea's high-capability image generation model, more than twice the size of Krea 2 Medium. Its lighter post-training gives images a rawer, more textured, and flexible character,...
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- image
kreaKrea: Krea 2 Medium
Krea 2 Medium is Krea's balanced, cost-efficient image generation model and a practical starting point for a broad range of use cases. Its extensive post-training supports stable, consistent generations, with...
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- image
kreaKrea: Krea 2 Medium Turbo
Krea 2 Medium Turbo is a distilled, speed-focused variant of Krea 2 Medium from Krea. It is designed for rapid iteration and graphic design exploration where fast generation is the...
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- image
meituanMeituan: LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...
- コンテキスト
- 1.0M
- 入力
- text
- 出力
- text