AIモデルレーダー
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
- 691
- プロバイダー
- 98
- 最終同期
- 2026/10/30
nvidiaNVIDIA: Nemotron 3.5 Embed 8B (free)
Nemotron 3.5 Embed 8B is a multimodal embedding model from NVIDIA for multilingual retrieval over text and document page images (tables, charts, infographics). Queries are text and documents can be...
- コンテキスト
- 33K
- 入力
- text · image
- 出力
- embeddings
nvidiaNVIDIA: Nemotron 3.5 Rerank 8B (free)
入力: text, image · 出力: rerank
- コンテキスト
- 33K
- 入力
- text · image
- 出力
- rerank
mistralaiMistral: Voxtral TTS 3
Voxtral TTS 3 is Mistral's text-to-speech model. It converts text into natural-sounding speech, offers a library of preset voices, supports zero-shot voice cloning, and accepts emotion and pace tags in...
- コンテキスト
- 4K
- 入力
- text
- 出力
- speech
mistralaiMistral: Voxtral Small Transcribe 3
Voxtral Small Transcribe 3 is Mistral's flagship speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization, and supports context biasing for domain-specific vocabulary. Suited...
- コンテキスト
- 66K
- 入力
- audio
- 出力
- transcription
mistralaiMistral: Voxtral Mini Transcribe 3
Voxtral Mini Transcribe 3 is Mistral's compact speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization. It also supports context biasing for domain terms....
- コンテキスト
- 66K
- 入力
- audio
- 出力
- transcription
minimaxMiniMax: MiniMax M3.1 Flash
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
- コンテキスト
- 1.0M
- 入力
- text · image · video
- 出力
- text
deepseekDeepSeek: DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. V4.1 Flash is a sparse mixture-of-experts model...
- コンテキスト
- 1.0M
- 入力
- text · image
- 出力
- text
elorianElorian: Glimpse
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
- コンテキスト
- 262K
- 入力
- text · image · video
- 出力
- text
qwenQwen: Qwen Image 2.1 Turbo
Qwen Image 2.1 Turbo is the fast, lower-cost tier of the Qwen Image 2.1 series from Qwen, for image generation and editing where throughput and price matter more than peak...
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- image
qwenQwen: Qwen Image 2.1 Pro
Qwen Image 2.1 Pro is an image generation and editing model from Qwen, the higher-quality tier of the Qwen Image 2.1 series. Choose it over Qwen Image 2.1 Turbo when...
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- image
perplexityPerplexity: Decider Flash V1.2
Decider Flash V1.2 is a 4B-parameter decision model from Perplexity, a smaller, lower-cost sibling of Decider V1.2 with the same API contract. Instead of generating text, it reads content passed...
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- decisions
perplexityPerplexity: Decider V1.2
Decider V1.2 is a new 27B checkpoint of Perplexity's decision model, succeeding Decider V1.1 27B with the same API contract. Instead of generating text, it reads content passed as state...
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- decisions
xingchen-agiXingChen: Xing4.0 29B A4B (free)
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
- コンテキスト
- 262K
- 入力
- text
- 出力
- text
~perplexityPerplexity: Decider Flash Latest
This model always redirects to the latest model in the Decider Flash family.
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- decisions
reflectionReflection: Beam 1.0 501B A23B
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
- コンテキスト
- 1.0M
- 入力
- text
- 出力
- text
inceptionInception: Mercury 3
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
- コンテキスト
- 1M
- 入力
- text
- 出力
- text
prism-mlPrismML: Ternary Bonsai 2 9B
Ternary Bonsai 2 9B is PrismML’s compact, open-weight language model for conversational AI, reasoning, and tool use. Built on Qwen3.5, it uses ternary weights packed into 2 bits for efficient...
- コンテキスト
- 262K
- 入力
- text · image
- 出力
- text
respanRespan: Span-02
Span-02 is an open-weight decision model from Respan. It reads a state of text and images and answers the questions you define about it: picking one of several options, a...
- コンテキスト
- 131K
- 入力
- text · image
- 出力
- decisions
liquidLiquidAI: d1-ultra
d1-ultra is Liquid AI's largest decision model, served as a System One endpoint. Send a state of text and images along with typed questions, and it returns a choice, a...
- コンテキスト
- 33K
- 入力
- text · image
- 出力
- decisions
kreaKrea: K3 Edit
Krea K3 Edit is an image-to-image editing model from Krea. It takes one to eight reference images plus a text prompt and returns a single edited image, following instructions that...
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- image
moondreamMoondream: Moondream 3 Preview
Moondream 3 Preview is a vision-language model from Moondream with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and visual reasoning over images, with...
- コンテキスト
- 32K
- 入力
- text · image
- 出力
- text
moondreamMoondream: Moondream 3.1
Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and...
- コンテキスト
- 32K
- 入力
- text · image
- 出力
- text
metaMeta: Muse Spark Open
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...
- コンテキスト
- 1.0M
- 入力
- text · image · video · file · audio
- 出力
- text
black-forest-labsBlack Forest Labs: FLUX 3 Image Klein
FLUX 3 Image Klein is an open-weights image generation and editing model from Black Forest Labs. It is suited for text-to-image, multi-reference editing that keeps characters and subjects consistent across...
- コンテキスト
- 47K
- 入力
- text · image
- 出力
- image