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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
anthropicAnthropic: Claude Fable 5 (batch)
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
nex-agiNex AGI: Nex-N2-Pro
Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- text
sourcefulSourceful: Riverflow V2.5 Pro
Riverflow V2.5 Pro is the most powerful variant of Sourceful's Riverflow 2.5 lineup, best for top-tier control and quality-sensitive outputs. The Riverflow 2.5 series is a unified text-to-image and image-to-image...
- コンテキスト
- 33K
- 入力
- text · image
- 出力
- image
sourcefulSourceful: Riverflow V2.5 Fast
Riverflow V2.5 Fast is the speed-optimized variant of Sourceful's Riverflow 2.5 lineup, best for production deployments and latency-critical workflows. The Riverflow 2.5 series is a unified text-to-image and image-to-image family...
- コンテキスト
- 33K
- 入力
- text · image
- 出力
- image
nvidiaNVIDIA: Nemotron 3.5 Content Safety (free)
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...
- コンテキスト
- 128K
- 入力
- text · image
- 出力
- text
nvidiaNVIDIA: Nemotron 3 Ultra
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
- コンテキスト
- 262K
- 入力
- text
- 出力
- text
nvidiaNVIDIA: Nemotron 3 Ultra (batch)
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
- コンテキスト
- 512K
- 入力
- text
- 出力
- text
nvidiaNVIDIA: Nemotron 3 Ultra (free)
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
- コンテキスト
- 1M
- 入力
- text
- 出力
- text
qwenQwen: Qwen3.7 Plus
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
- コンテキスト
- 1M
- 入力
- text · image
- 出力
- text
microsoftMicrosoft: MAI-Voice-2
MAI-Voice-2 is an expressive text-to-speech model from Microsoft. It is suited for conversational assistants, media narration, accessibility, education, and other long-form voice applications. It supports 15 languages across 18 locales,...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
microsoftMicrosoft: MAI-Transcribe 1.5
MAI-Transcribe 1.5 is a multilingual speech-to-text model from Microsoft AI. It is suited for captions, call transcription, subtitling, accessibility, and other voice-enabled applications, with reliable transcription across 43 languages, diverse...
- コンテキスト
- 情報なし
- 入力
- audio
- 出力
- transcription
microsoftMicrosoft: MAI-Image-2.5
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
minimaxMiniMax: MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
- コンテキスト
- 1.0M
- 入力
- text · image · video
- 出力
- text
minimaxMiniMax: MiniMax M3 (batch)
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
- コンテキスト
- 524K
- 入力
- text · image · video
- 出力
- text
minimaxMiniMax: MiniMax M3 (free)
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
- コンテキスト
- 1.0M
- 入力
- text · image · video
- 出力
- text
stepfunStepFun: Step 3.7 Flash
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...
- コンテキスト
- 262K
- 入力
- text · image · video
- 出力
- text
anthropicAnthropic: Claude Opus 4.8 (Fast)
Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8. 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
anthropicAnthropic: Claude Opus 4.8
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
anthropicAnthropic: Claude Opus 4.8 (batch)
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
nvidiaNVIDIA: Parakeet TDT 0.6B v3
Parakeet TDT 0.6B v3 is NVIDIA's 600M-parameter multilingual speech-to-text model built on the FastConformer-TDT architecture. Trained on the Granary dataset (670,000+ hours of audio), it supports automatic language detection across...
- コンテキスト
- 情報なし
- 入力
- audio
- 出力
- transcription
qwenQwen: Qwen3.7 Max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
- コンテキスト
- 1M
- 入力
- text
- 出力
- text
x-aiSpaceXAI: Grok Build 0.1
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...
- コンテキスト
- 256K
- 入力
- text · image · file
- 出力
- text
googleGoogle: Gemini Embedding 2
Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It supports...
- コンテキスト
- 8K
- 入力
- text · image · file · audio · video
- 出力
- embeddings
googleGoogle: Gemini Embedding 2 (batch)
Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It supports...
- コンテキスト
- 8K
- 入力
- text · image · file · audio · video
- 出力
- embeddings