Back to Text & reasoning

Model comparison

Muse Wonder vs Muse Wonder Full

Compare Muse Wonder and Muse Wonder Full using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.

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
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.

Estimate your cost
ModelEstimated total (USD)
Muse WonderMeta$0.034
Muse Wonder FullMetaNo reviewed rate

Quick take

Muse Wonder

Meta's model for extended coding projects, research and agents that work across files and tools.

Best for

  • Codebase changes
  • Multi-step workflows
  • Long-document analysis with tools

Watch out for

API Standard mode and Muse Code subscriptions have different data settings. Check Contributor mode before sending private code or documents.

Muse Wonder Full

A separate Muse Wonder variant for demanding coding work inside a paid Muse Code plan.

Best for

  • Codebase changes
  • Multi-step workflows

Watch out for

Subscription usage limits apply. There is no comparable per-token API price, and Contributor mode is enabled by default unless you turn it off.

Compare the published facts

Muse Wonder vs Muse Wonder Full

Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.

Text & reasoningMuse WonderMuse Wonder Full
Context windowMaximum combined prompt and working context documented by the provider.1,048,576 tokens1M tokens
Maximum outputProvider-published response limit, where available.Not publishedNot published
Knowledge cutoffLatest 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.Not publishedNot published
Input priceCurrent standard list price per million input tokens unless noted.$4 / 1MNo public API rate
Output priceCurrent standard list price per million output tokens unless noted.$20 / 1MNo public API rate
InputsMedia types accepted by the listed model endpoint.Text, image, video, audio, PDFText, image, video, audio
Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list.Tool calling, structured output, search grounding, computer useCoding and computer-use workflows in Muse Code

How to choose

Compare the job, not the hype.

Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.

Muse Wonder

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.

Muse Wonder Full

Muse Code subscriptions default to Contributor mode, which allows training on your content. Turn it off to use Standard mode.

Provider and API links

Frequently asked questions

Muse Wonder vs Muse Wonder Full FAQ

What is the main difference between Muse Wonder and Muse Wonder Full?

Muse Wonder: Meta's model for extended coding projects, research and agents that work across files and tools. Muse Wonder Full: A separate Muse Wonder variant for demanding coding work inside a paid Muse Code plan.

Should I choose Muse Wonder or Muse Wonder Full?

Consider Muse Wonder when your priority is Codebase changes. Consider Muse Wonder Full when your priority is Codebase changes. Test both with your own data and provider route before committing.

Is this Muse Wonder vs Muse Wonder Full comparison based on Cody benchmarks?

No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.