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
microsoftMicrosoft AI: MAI-Voice-2.1
MAI-Voice-2.1 is Microsoft AI's highest-fidelity, most expressive text-to-speech model. It produces natural, studio-grade speech across 23 languages, with detailed prosody, nuanced expressiveness, and speaker consistency over long-form content. It is...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
heygenHeyGen: HeyGen Video
HeyGen Video is a general-purpose video generation model from HeyGen. It renders short clips with synthesized audio (dialogue, ambience, and sound effects) in a single call, working from a text...
- コンテキスト
- 情報なし
- 入力
- text · image · video · audio
- 出力
- video
togethercomputerTogether: Tev1 4B Experimental
Tev1 4B Experimental is an experimental decision model from Together AI, a supervised fine-tune of Qwen3.5-4B trained to choose one option from a structured state, question, and list of 2-24...
- コンテキスト
- 33K
- 入力
- text
- 出力
- decisions
inceptionInception: Mercury Decide
Mercury Decide is Inception's structured decision model, served as a System One endpoint. Send a state along with typed questions, and it returns a choice, a score, or a yes/no...
- コンテキスト
- 66K
- 入力
- text · image
- 出力
- decisions
voyageaiVoyageAI by MongoDB: rerank-3-lite
rerank-3-lite is a reranker optimized for both latency and quality and a drop-in upgrade to rerank-2.5-lite, improving on it by 0.94% NDCG@10 on average across domain evaluations and by 1.86%...
- コンテキスト
- 32K
- 入力
- text
- 出力
- rerank
voyageaiVoyageAI by MongoDB: rerank-3
rerank-3 is a reranker optimized for quality and a drop-in upgrade to rerank-2.5, improving on it by 0.80% NDCG@10 on average across domain evaluations and by 3.35% on long-document evaluations,...
- コンテキスト
- 32K
- 入力
- text
- 出力
- rerank
openaiOpenAI: GPT-6.1 Sol Pro
GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
openaiOpenAI: GPT-6.1 Sol Pro (batch)
GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
openaiOpenAI: GPT-6.1 Sol
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
openaiOpenAI: GPT-6.1 Sol (batch)
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...
- コンテキスト
- 1.1M
- 入力
- file · image · text
- 出力
- text
anthropicAnthropic: Claude Sonnet 5.5
Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
anthropicAnthropic: Claude Sonnet 5.5 (batch)
Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...
- コンテキスト
- 1M
- 入力
- text · image · file
- 出力
- text
upstageUpstage: Solar Decide
Solar Decide is Upstage's structured decision model, served as a System One endpoint on Solar Mini 4. Send a state along with typed questions, and it returns a choice, a...
- コンテキスト
- 524K
- 入力
- text
- 出力
- decisions
respanRespan: Span-01
Span-01 is a behavior scoring model from Respan. It reads a conversation span and returns, for each plain-language behavior you define, the probability that the behavior is present. It is...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- decisions
respanRespan: Span-01 Lite
Span-01 Lite is the free, lighter tier of Span-01, a behavior scoring model from Respan. It returns, for each plain-language behavior you define, the probability that the behavior is present...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- decisions
respanRespan: Span-01 Lite (free)
Span-01 Lite is the free, lighter tier of Span-01, a behavior scoring model from Respan. It returns, for each plain-language behavior you define, the probability that the behavior is present...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- decisions
bytedance-seedByteDance Seed: Seed Audio 1.0
Seed Audio 1.0 is ByteDance Seed's non-streaming audio generation model. It produces speech and other audio from a natural-language text prompt that can describe the desired voice, tone, and sound...
- コンテキスト
- 情報なし
- 入力
- text
- 出力
- speech
typesafeTypeSafe: Jev Router
Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cost. It runs on Jev, TypeSafe's first System One model, and adapts as your...
- コンテキスト
- 1M
- 入力
- audio · file · image · text · video
- 出力
- text
jaredpalmerJared Palmer: Kev 4B
Kev 4B is a small open-weight decision model from Jared Palmer, built as a LoRA adapter and pointer head on Qwen3.5-4B-Base and served over the same /v1/systemone contract as TypeSafe's...
- コンテキスト
- 8K
- 入力
- text
- 出力
- decisions
perceptronPerceptron: Perceptron Mk1.5
Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...
- コンテキスト
- 37K
- 入力
- text · image · video · audio
- 出力
- text
googleGoogle: Gemini 3.5 Transcribe
Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio...
- コンテキスト
- 98K
- 入力
- audio
- 出力
- transcription
fish-audioFish Audio: Transcribe 1 Pro
Transcribe 1 Pro is a speech-to-text model from Fish Audio tuned for interviews, meetings, and podcasts. It labels speakers with inline speaker markers, preserves emotion and vocal-event cues such as...
- コンテキスト
- 情報なし
- 入力
- audio
- 出力
- transcription
fireworksFireworks: Ember-1
Ember-1 is a specialized reasoning model from Fireworks Research, built on Kimi K3. It is designed to make every token go further: it produces shorter reasoning traces, using roughly 40%...
- コンテキスト
- 1.0M
- 入力
- text · image
- 出力
- text
googleGoogle: Gemini 3.8 Flash Lite TTS
Gemini 3.8 Flash Lite TTS is a text-to-speech model from Google and the fast, high-throughput member of the 3.8 TTS family alongside Gemini 3.8 Flash TTS. It is suited for...
- コンテキスト
- 33K
- 入力
- text
- 出力
- speech