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MetaMuse Wonder
Meta's model for extended coding projects, research and agents that work across files and tools.
Plain-English overview
What Muse Wonder actually is
Muse Wonder accepts text, images, video, audio and PDFs and replies with text. Its million-token context makes it an option for applications that need substantial reference material.
The API supports tool calling and structured answers. Choose this version when you need to build your own integration; Muse Wonder Full is a separate Muse Code-only model.
Good fit for
- Codebase changes
- Multi-step workflows
- Long-document analysis with tools
Category comparison
The facts that matter for text models
These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.
- Context window
- 1,048,576 tokensMaximum combined prompt and working context documented by the provider.
- Maximum output
- Not publishedProvider-published response limit, where available.
- Knowledge cutoff
- Not publishedLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
- Input price
- $4 / 1MCurrent standard list price per million input tokens unless noted.
- Output price
- $20 / 1MCurrent standard list price per million output tokens unless noted.
- Inputs
- Text, image, video, audio, PDFMedia types accepted by the listed model endpoint.
- Tools & agents
- Tool calling, structured output, search grounding, computer useSelected native tools and agent-building capabilities, not an exhaustive list.
Pricing & comparisons
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
Muse Wonder
Meta
Estimated total (USD)
For the usage above · USD · API pricing, not a subscription
- Input tokens
- $4.00 per 1M tokens
- Output tokens
- $20.00 per 1M tokens
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
API and provider access
Where to get Muse Wonder
Availability
Regions and access stage
Available through Meta Model API, Muse Code and OpenRouter.
Account eligibility and regional restrictions apply; check the provider before signing up.
Check live availabilityData and training
The route matters.
Meta API Standard mode does not use content for training. Muse Code subscriptions default to Contributor mode, which permits training; you can turn it off.
This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.
Read the provider policyFrequently asked questions
Muse Wonder FAQ
What is Muse Wonder?
Meta's model for extended coding projects, research and agents that work across files and tools. Muse Wonder accepts text, images, video, audio and PDFs and replies with text. Its million-token context makes it an option for applications that need substantial reference material.
When was Muse Wonder released?
Muse Wonder was released on October 12, 2026 according to the cited provider materials.
Where can I access Muse Wonder?
Available through Meta Model API, Muse Code and OpenRouter. The access routes listed in this guide are Meta and OpenRouter.
How much does Muse Wonder cost?
$4 input · $20 output / 1M tokens. Standard API pricing; cached input costs $0.20 per 1M tokens. No long-context premium. Web search costs extra.
Where is Muse Wonder available?
Available through Meta Model API, Muse Code and OpenRouter. Account eligibility and regional restrictions apply; check the provider before signing up.
Is my Muse Wonder API data used for training?
Meta API Standard mode does not use content for training. Muse Code subscriptions default to Contributor mode, which permits training; you can turn it off. The policy belongs to the provider route and account terms, so verify it again before production use.
Price comparison
One price per model, using the same input/output mix. We weight each API rate by its share of one million total tokens and use the lowest matching reviewed route. This is a comparison rate, not a cost per task or a quality score. Tokenizers, caching, reasoning and long context can change your actual bill.
75% input + 25% output · no cache discounts
- GPT-6 Luna$0.20
OpenAI
- Mistral Small 4$0.2625
Mistral AI
- GPT-5.6 Luna$0.45
OpenAI
- Gemini 3.8 Flash$1.50
Google
- Claude Haiku 4.5$2.00
Anthropic
- Gemini 4 Argon$4.00
Google
- GPT-6.1 Sol$4.00
OpenAI
- Claude Sonnet 5.5$4.00
Anthropic
- GPT-6 Sol$4.00
OpenAI
- Claude Sonnet 5$4.00
Anthropic
- GPT-5.6 Terra$4.50
OpenAI
- Muse Wonder$8.00
Meta
This model
- Daybreak Blue$8.00
OpenAI
- Claude Opus 5.5$8.00
Anthropic
- GPT-5.6 Sol$8.00
OpenAI
- Claude Opus 5$10.00
Anthropic
- Claude Fable 5$20.00
Anthropic
- GPT-6 Astra$20.00
OpenAI
- Claude Fable 5.1$20.00
Anthropic
Related comparisons
Head-to-head comparisons
Muse Wonder vs Gemini 4 Argon
Google's Gemini 4 model for coding, research and tasks involving large collections of text, images, audio or video.
Open full comparisonMuse Wonder vs Muse Wonder Full
A separate Muse Wonder variant for demanding coding work inside a paid Muse Code plan.
Open full comparisonMuse Wonder vs Claude Opus 5.5
A Claude model for large code changes, detailed research and business tasks that take many steps.
Open full comparisonMuse Wonder vs Muse Spark 1.3
Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.
Open full comparison