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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
691 个模型
nvidia logonvidia

NVIDIA: Nemotron 3.5 Super VL

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

上下文
1.0M
输入
text · image · video
输出
text
输入: $0.15输出: $0.5每百万 Token
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nvidia logonvidia

NVIDIA: Nemotron 3.5 Super VL (free)

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

上下文
1M
输入
text · image · video
输出
text
输入: 免费输出: 免费每百万 Token
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unbiased logounbiased

Pareto 26.10

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

上下文
1.0M
输入
text · image
输出
text
输入: $0.8输出: $3.2每百万 Token
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typesafe logotypesafe

TypeSafe: Jev 1.14

Jev 1.14 is the latest version of Jev, TypeSafe's structured decision model and the first of its System One models. System One models make fast, structured decisions for software, returning...

上下文
262K
输入
text · image
输出
decisions
输入: $0.042 每百万 Token输出: 免费 每百万 Token
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assemblyai logoassemblyai

AssemblyAI: Universal-3.6 Pro

Universal-3.6 Pro is AssemblyAI's speech-to-text model and the successor to Universal-3.5 Pro, served here through AssemblyAI's Sync API. Compared with Universal-3.5 Pro, AssemblyAI reports 30% fewer errors on short conversational...

上下文
暂未提供
输入
audio
输出
transcription
音频时长: $0.000083 每秒Audio Seconds (Prompted): $0.000097 每秒
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~perplexity logo~perplexity

Perplexity: Decider Latest

This model always redirects to the latest model in the Decider family.

上下文
262K
输入
text · image
输出
decisions
输入: $0.02 每百万 Token输出: 免费 每百万 Token
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~unbiased logo~unbiased

Pareto Latest

This model always redirects to the latest model in the Pareto family.

上下文
1.0M
输入
text · image
输出
text
输入: $0.8输出: $3.2每百万 Token
查看模型详情 →
unbiased logounbiased

Pareto 26.9

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

上下文
262K
输入
text · image
输出
text
输入: $2.5输出: $7.5每百万 Token
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heygen logoheygen

HeyGen: HeyGen Voice

HeyGen Voice is a text-to-speech model from HeyGen. It comes with 10 default voices, or bring your own HeyGen key to use voice clones from your own account. It streams...

上下文
暂未提供
输入
text
输出
speech
字符: $15 每百万字符
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liquid logoliquid

LiquidAI: LFM2.5-24B-A2B

LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...

上下文
128K
输入
text
输出
text
输入: $0.05输出: $0.7每百万 Token
查看模型详情 →
fish-audio logofish-audio

Fish Audio: Drama 3

Drama 3 is a text-to-speech model from Fish Audio built for directed voice performances. You write the direction in plain language in square brackets before a line, such as [nervous,...

上下文
暂未提供
输入
text
输出
speech
UTF-8 字节: $2 每百万 UTF-8 字节
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google logogoogle

Google: Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

上下文
1.0M
输入
audio · file · image · text · video
输出
text
输入: $2输出: $10每百万 Token
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google logogoogle

Google: Gemini 4 Argon (batch)

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

上下文
1.0M
输入
audio · file · image · text · video
输出
text
输入: $1输出: $5每百万 Token
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scaledown logoscaledown

ScaleDown: Summarize

Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for...

上下文
1M
输入
text · image · file
输出
text
输入: $0.04输出: 免费每百万 Token
查看模型详情 →
scaledown logoscaledown

ScaleDown: Extract

Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through provider.options.scaledown.entities, and the...

上下文
1M
输入
text · image · file
输出
text
输入: $0.04输出: 免费每百万 Token
查看模型详情 →
scaledown logoscaledown

ScaleDown: Classify-1

Classify-1 is a structured decision model from ScaleDown, served through OpenRouter's Decisions API. It scores text or a document against caller-defined choice, yes/no, and ordered-scale questions and returns calibrated probabilities...

上下文
1M
输入
text · image · file
输出
decisions
输入: $0.04 每百万 Token输出: 免费 每百万 Token
查看模型详情 →
nace-ai logonace-ai

Nace.AI: Drex v2.0

Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI, the larger successor to Drex v1.5. Given a state (text or JSON) and typed questions (yes/no, multiple choice,...

上下文
131K
输入
text
输出
decisions
输入: $0.06 每百万 Token输出: 免费 每百万 Token
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meta logometa

Meta: Muse Wonder

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

上下文
1.0M
输入
text · image · video · file · audio
输出
text
输入: $4输出: $20每百万 Token
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microsoft logomicrosoft

Microsoft: Microsoft-Decision-1

Microsoft-Decision-1 is a small model built for fast decision-making. Instead of generating text, it reads the provided content and returns a calibrated probability for each fixed answer option, so the...

上下文
33K
输入
text
输出
decisions
输入: $0.042 每百万 Token输出: 免费 每百万 Token
查看模型详情 →
nace-ai logonace-ai

Nace.AI: Drex v1.5

Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for...

上下文
131K
输入
text
输出
decisions
输入: $0.04 每百万 Token输出: 免费 每百万 Token
查看模型详情 →
cloudflare logocloudflare

Cloudflare: Clef Omni

Clef Omni is the mixture-of-experts member of Cloudflare's open-source Clef decision model family, a fine-tune of Qwen3-Omni-30B-A3B (30B total, 3B active parameters) served on Workers AI. It turns a state...

上下文
66K
输入
text · image · audio · video
输出
decisions
输入: $0.15 每百万 Token输出: 免费 每百万 Token
查看模型详情 →
stepfun logostepfun

StepFun: Step 5 Preview

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...

上下文
1.0M
输入
text · image · video
输出
text
输入: $1输出: $2.7每百万 Token
查看模型详情 →
upstage logoupstage

Upstage: Solar Decide Flash

Solar Decide Flash is Upstage's low-latency structured decision model, a faster variant of Solar Decide built on Solar Mini 4 and served through the System One (/v1/systemone) API. Instead of...

上下文
524K
输入
text
输出
decisions
输入: $0.05 每百万 Token输出: 免费 每百万 Token
查看模型详情 →
anthropic logoanthropic

Anthropic: Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

上下文
1M
输入
text · image · file
输出
text
输入: $0.1输出: $0.5每百万 Token
查看模型详情 →