模型雷达 · OPENROUTER

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
631
个提供方
86
最近同步
2026年9月29日
631 个模型
inclusionai logoinclusionai

inclusionAI: Ling 3.0 Flash Sante (free)

Ling 3.0 Flash Sante is a health and medicine-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for...

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 →
qwen logoqwen

Qwen: Qwen3.8 Max (0902)

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

上下文
1M
输入
text · image · video
输出
text
输入: $2输出: $6每百万 Token
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microsoft logomicrosoft

Microsoft AI: MAI-Transcribe 2

MAI-Transcribe 2 is a multilingual speech-to-text model from Microsoft AI, ranked #1 on the FLEURS multilingual benchmark. It supports 60 languages with automatic language identification, code switching for mixed-language speech,...

上下文
暂未提供
输入
audio
输出
transcription
音频时长: $0.1 每小时
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meta logometa

Meta: Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

上下文
1.0M
输入
text · image · video · file
输出
text
输入: $0.1输出: $0.2每百万 Token
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meta logometa

Meta: Muse Spark 1.3

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

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
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google logogoogle

Google: Gemini 3.8 Flash

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

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
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google logogoogle

Google: Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

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
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minimax logominimax

MiniMax: H3 Max

MiniMax H3 Max is a video-generation model from MiniMax, jointly released with fal.ai. Derived through additional training from MiniMax H3, it is designed for faster text-to-video and image-to-video generation with...

上下文
暂未提供
输入
text · image
输出
video
视频输出: $0.08 每秒
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anthropic logoanthropic

Anthropic: Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

上下文
1M
输入
text · image · file
输出
text
输入: $10输出: $50每百万 Token
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anthropic logoanthropic

Anthropic: Claude Fable 5.1 (batch)

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

上下文
1M
输入
text · image · file
输出
text
输入: $5输出: $25每百万 Token
查看模型详情 →
ibm-granite logoibm-granite

IBM: Granite 4.2 8B

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

上下文
131K
输入
text
输出
text
输入: $0.06输出: $0.25每百万 Token
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tencent logotencent

Tencent: Hy4 preview

Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...

上下文
1.0M
输入
text
输出
text
输入: $0.834输出: $2.501每百万 Token
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alibaba logoalibaba

Alibaba: Wan 3.0 Prime

Wan 3.0 Prime is a fast-mode variant of Wan 3.0 from Alibaba. It supports text-to-video and first-frame image-to-video generation.

上下文
暂未提供
输入
text · image
输出
video
视频输出: $0.14 每秒
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inclusionai logoinclusionai

inclusionAI: Ling 3.0 Flash Fin

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

上下文
262K
输入
text
输出
text
输入: $0.06输出: $0.18每百万 Token
查看模型详情 →
~z-ai logo~z-ai

Z.ai: GLM Flash Latest

This model always redirects to the latest model in the GLM Flash family.

上下文
1.3M
输入
text · image · video
输出
text
输入: $0.04输出: $0.5每百万 Token
查看模型详情 →
qwen logoqwen

Qwen: Qwen3.8 Flash

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

上下文
1M
输入
text · image · video
输出
text
输入: $0.15输出: $0.47每百万 Token
查看模型详情 →
meta logometa

Meta: Muse Image

Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking...

上下文
66K
输入
text · image
输出
image
图片输出: $0.01 每张图片
查看模型详情 →
z-ai logoz-ai

Z.ai: GLM 5.3 Flash

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

上下文
1.3M
输入
text · image · video
输出
text
输入: $0.15输出: $0.5每百万 Token
查看模型详情 →
z-ai logoz-ai

Z.ai: GLM 5.3 Flash (batch)

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

上下文
1.0M
输入
text · image · video
输出
text
输入: $0.06输出: $0.2每百万 Token
查看模型详情 →
recraft logorecraft

Recraft: Recraft V4 Styles Pro

Recraft V4 Styles Pro is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's...

上下文
66K
输入
text · image
输出
image
图片输出: $0.1 每张图片Style Creation: $0.005 每次请求
查看模型详情 →
recraft logorecraft

Recraft: Recraft V4 Styles Vector

Recraft V4 Styles Vector is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's...

上下文
66K
输入
text · image
输出
image
图片输出: $0.05 每张图片Style Creation: $0.005 每次请求
查看模型详情 →
recraft logorecraft

Recraft: Recraft V4 Styles Pro Vector

Recraft V4 Styles Pro Vector is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the...

上下文
66K
输入
text · image
输出
image
图片输出: $0.12 每张图片Style Creation: $0.005 每次请求
查看模型详情 →
recraft logorecraft

Recraft: Recraft V4 Styles

Recraft V4 Styles is a style-consistent image generation model from Recraft. Every request requires at least one style reference image and generates a new image that reproduces the reference's rendering...

上下文
66K
输入
text · image
输出
image
图片输出: $0.035 每张图片Style Creation: $0.005 每次请求
查看模型详情 →
alibaba logoalibaba

Alibaba: Wan 3.0

Wan 3.0 is a video generation model from Alibaba for text-to-video, image-to-video, and reference-guided video generation. It produces 480p, 720p, or 1080p video with durations from 2 to 30 seconds.

上下文
暂未提供
输入
text · image
输出
video
视频输出: $0.085 每秒
查看模型详情 →