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Meta: Muse Wonder

来源介绍(英文)

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...

模型概览

模型规格

上下文
1,048,576 tokens
最大输出
943,718 tokens
架构
text+image+file+audio+video->text
分词器
Other
知识截止时间
暂未提供
内容审核
是
OPENROUTER

完整价格

同步自 OpenRouter。Token 价格均按每百万 Token 展示。

输入
$4
每百万 Token
输出
$20
每百万 Token
缓存读取
$0.2
每百万 Token
网页搜索
$2.5
每千次调用
API

模型配置

推理能力

是否必须推理
是
默认参数
medium
能力与模态
max, xhigh, high, medium, low, minimal
API

快速调用

在本地设置 OPENROUTER_API_KEY。Python 需安装 requests;JavaScript 在 Node.js 中运行。密钥应保存在服务端。

API 文档

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"meta/muse-wonder","messages":[{"role":"user","content":"Hello!"}]}'
能力与模态

输入 → 输出

输入
textimagevideofileaudio
输出
text
推理能力

否 · max · xhigh · high · medium · low · minimal

API

支持的 API 参数

include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
可用提供方

1 提供方

核验日期: 2026年10月13日

在 OpenRouter 查看实时 Provider

Provider 可用性、延迟、吞吐量和路由会持续变化,请前往来源页面查看实时运行数据。

OpenRouter

Meta

暂未提供
上下文
1.0M
最大输出
944K
输入
$4
输出
$20
缓存读取
$0.2
缓存写入
暂未提供
meta

4 个模型

全部模型
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Meta: Muse Spark Open

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

上下文
1.0M
输入
text · image · video · file · audio
输出
text
输入: $1.25输出: $4.25每百万 Token
查看模型详情 →
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Meta: Muse Voice Transcribe 1.0

Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language biasing through...

上下文
暂未提供
输入
audio
输出
transcription
音频时长: $0.00005 每秒
查看模型详情 →
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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
查看模型详情 →
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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
查看模型详情 →