AI 模型雷达
把 AI 模型放在一起比较
收录 OpenRouter 当前公开的全部模型，统一呈现模态、上下文窗口、价格、配置与提供方信息，并持续增量更新。
- 目录范围
- 全部公开
- 个模型
- 691
- 个提供方
- 98
- 最近同步
- 2026年10月30日
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...
- 上下文
- 暂未提供
- 输入
- text
- 输出
- 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...
- 上下文
- 暂未提供
- 输入
- text · image · video · audio
- 输出
- 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...
- 上下文
- 33K
- 输入
- text
- 输出
- 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...
- 上下文
- 66K
- 输入
- text · image
- 输出
- 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%...
- 上下文
- 32K
- 输入
- text
- 输出
- 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,...
- 上下文
- 32K
- 输入
- text
- 输出
- 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...
- 上下文
- 1.1M
- 输入
- file · image · text
- 输出
- 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...
- 上下文
- 1.1M
- 输入
- file · image · text
- 输出
- 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...
- 上下文
- 1.1M
- 输入
- file · image · text
- 输出
- 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...
- 上下文
- 1.1M
- 输入
- file · image · text
- 输出
- 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...
- 上下文
- 1M
- 输入
- text · image · file
- 输出
- 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...
- 上下文
- 1M
- 输入
- text · image · file
- 输出
- 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...
- 上下文
- 524K
- 输入
- text
- 输出
- 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...
- 上下文
- 暂未提供
- 输入
- text
- 输出
- 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...
- 上下文
- 暂未提供
- 输入
- text
- 输出
- 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...
- 上下文
- 暂未提供
- 输入
- text
- 输出
- 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...
- 上下文
- 暂未提供
- 输入
- text
- 输出
- 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...
- 上下文
- 1M
- 输入
- audio · file · image · text · video
- 输出
- 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...
- 上下文
- 8K
- 输入
- text
- 输出
- 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,...
- 上下文
- 37K
- 输入
- text · image · video · audio
- 输出
- 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...
- 上下文
- 98K
- 输入
- audio
- 输出
- 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...
- 上下文
- 暂未提供
- 输入
- audio
- 输出
- 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%...
- 上下文
- 1.0M
- 输入
- text · image
- 输出
- 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...
- 上下文
- 33K
- 输入
- text
- 输出
- speech