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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
microsoft logomicrosoft

Microsoft AI: MAI-Voice-2-Flash

MAI-Voice-2-Flash is a low-latency text-to-speech model from Microsoft AI for voice agents, assistants, call centers, accessibility, narration, and other interactive applications. It generates expressive 24 kHz mono speech across 15...

上下文
暂未提供
输入
text
输出
speech
字符: $15 每百万字符
查看模型详情 →
inclusionai logoinclusionai

inclusionAI: Ling 3.0 Flash

Ling-3.0-flash is a 124B-parameter Mixture-of-Experts (MoE) model, with approximately 5.1B parameters activated per token. The model is designed with token efficiency and production-scale agentic inference as key priorities, enabling developers...

上下文
262K
输入
text
输出
text
输入: $0.021输出: $0.063每百万 Token
查看模型详情 →
qwen logoqwen

Qwen: Qwen-Audio-3.0-TTS Flash

Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

上下文
暂未提供
输入
text
输出
speech
字符: $15 每百万字符
查看模型详情 →
qwen logoqwen

Qwen: Qwen-Audio-3.0-TTS Plus

Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

上下文
暂未提供
输入
text
输出
speech
字符: $20 每百万字符
查看模型详情 →
x-ai logox-ai

SpaceXAI: Grok STT 1.0

Grok STT is SpaceXAI's speech-to-text model, available via the REST /v1/stt endpoint. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.

上下文
暂未提供
输入
audio
输出
transcription
音频时长: $0.000028 每秒
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poolside logopoolside

Poolside: Laguna S 2.1

Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

上下文
1.0M
输入
text
输出
text
输入: $0.09输出: $0.18每百万 Token
查看模型详情 →
poolside logopoolside

Poolside: Laguna S 2.1 (free)

Laguna S 2.1 is the latest coding agent model from Poolside. Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

上下文
262K
输入
text
输出
text
输入: 免费输出: 免费每百万 Token
查看模型详情 →
google logogoogle

Google: Gemini 3.6 Flash

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

上下文
1.0M
输入
text · image · video · file · audio
输出
text
输入: $0.75输出: $3.75每百万 Token
查看模型详情 →
google logogoogle

Google: Gemini 3.6 Flash (batch)

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...

上下文
1.0M
输入
text · image · video · file · audio
输出
text
输入: $0.375输出: $1.875每百万 Token
查看模型详情 →
google logogoogle

Google: Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

上下文
1.0M
输入
text · image · video · file · audio
输出
text
输入: $0.3输出: $2.5每百万 Token
查看模型详情 →
google logogoogle

Google: Gemini 3.5 Flash Lite (batch)

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

上下文
1.0M
输入
text · image · video · file · audio
输出
text
输入: $0.15输出: $1.25每百万 Token
查看模型详情 →
krea logokrea

Krea: Krea 2 Large

Krea 2 Large is Krea's high-capability image generation model, more than twice the size of Krea 2 Medium. Its lighter post-training gives images a rawer, more textured, and flexible character,...

上下文
66K
输入
text · image
输出
image
图片输出: $0.06 每张图片Image Output (style references): $0.065 每张图片
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krea logokrea

Krea: Krea 2 Medium

Krea 2 Medium is Krea's balanced, cost-efficient image generation model and a practical starting point for a broad range of use cases. Its extensive post-training supports stable, consistent generations, with...

上下文
66K
输入
text · image
输出
image
图片输出: $0.03 每张图片Image Output (style references): $0.035 每张图片
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krea logokrea

Krea: Krea 2 Medium Turbo

Krea 2 Medium Turbo is a distilled, speed-focused variant of Krea 2 Medium from Krea. It is designed for rapid iteration and graphic design exploration where fast generation is the...

上下文
66K
输入
text · image
输出
image
图片输出: $0.015 每张图片Image Output (style references): $0.0175 每张图片
查看模型详情 →
meituan logomeituan

Meituan: LongCat 2.0

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...

上下文
1.0M
输入
text
输出
text
输入: $0.3输出: $1.2每百万 Token
查看模型详情 →
x-ai logox-ai

SpaceXAI: Grok Imagine Video 1.5

Grok Imagine Video 1.5 is a video generation model from SpaceXAI. It creates videos from text prompts, with an optional starting image to guide the scene. It can direct subject...

上下文
暂未提供
输入
text · image
输出
video
图片输入: $0.01 每张图片视频输出: $0.08 每秒
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thinkingmachines logothinkingmachines

Thinking Machines: Inkling

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

上下文
524K
输入
text · image · audio
输出
text
输入: $1输出: $4.05每百万 Token
查看模型详情 →
thinkingmachines logothinkingmachines

Thinking Machines: Inkling (free)

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

上下文
1.0M
输入
text · image · audio
输出
text
输入: 免费输出: 免费每百万 Token
查看模型详情 →
openrouter logoopenrouter

Auto Router (Beta)

The experimental version of our Auto Router where we test new improvements. Use it to get the latest and greatest version of our general purpose auto router, but expect beta...

上下文
2M
输入
text · image · audio · file · video
输出
text · image
按路由结果计费
查看模型详情 →
deepgram logodeepgram

Deepgram: Aura-2

Aura-2 is a multilingual text-to-speech model from Deepgram. It supports Deepgram’s canonical Aura-2 voice catalog for speech synthesis across multiple languages.

上下文
暂未提供
输入
text
输出
speech
字符: $30 每百万字符
查看模型详情 →
moonshotai logomoonshotai

MoonshotAI: Kimi K3

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

上下文
1.0M
输入
text · image · video
输出
text
输入: $0.192输出: $15每百万 Token
查看模型详情 →
moonshotai logomoonshotai

MoonshotAI: Kimi K3 (batch)

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

上下文
1.0M
输入
text · image · video
输出
text
输入: $2.28输出: $11.4每百万 Token
查看模型详情 →
meta logometa

Meta: Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....

上下文
1.0M
输入
text · image · video · file
输出
text
输入: $1.25输出: $4.25每百万 Token
查看模型详情 →
nvidia logonvidia

NVIDIA: Nemotron 3 Embed 1B (free)

NVIDIA Nemotron 3 Embed 1B is an open text embedding model from NVIDIA, optimized for high-throughput, low-latency retrieval. It is suited for enterprise search, RAG, code retrieval, and agentic retrieval...

上下文
33K
输入
text
输出
embeddings
输入: 免费每百万 Token
查看模型详情 →