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Model comparison

Muse Wonder vs Claude Opus 5.5

Compare Muse Wonder and Claude Opus 5.5 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)
Claude Opus 5.5Anthropic$0.034
Muse WonderMeta$0.034

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.

Claude Opus 5.5

A Claude model for large code changes, detailed research and business tasks that take many steps.

Best for

  • Codebase changes
  • Multi-step workflows

Watch out for

Existing integrations need a compatibility check: thinking cannot be disabled and forced tool calls are not supported. Fast mode and batch processing have different prices.

Compare the published facts

Muse Wonder vs Claude Opus 5.5

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 WonderClaude Opus 5.5
Context windowMaximum combined prompt and working context documented by the provider.1,048,576 tokens1M tokens
Maximum outputProvider-published response limit, where available.Not published128K tokens
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 publishedJune 2026
Input priceCurrent standard list price per million input tokens unless noted.$4 / 1M$4 / 1M
Output priceCurrent standard list price per million output tokens unless noted.$20 / 1M$20 / 1M
InputsMedia types accepted by the listed model endpoint.Text, image, video, audio, PDFText, image
Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list.Tool calling, structured output, search grounding, computer useTool use, agents, vision, coding workflows

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.

Claude Opus 5.5

Anthropic does not train on API data without express permission. Retention depends on the API feature, account agreement and cloud provider.

Frequently asked questions

Muse Wonder vs Claude Opus 5.5 FAQ

What is the main difference between Muse Wonder and Claude Opus 5.5?

Muse Wonder: Meta's model for extended coding projects, research and agents that work across files and tools. Claude Opus 5.5: A Claude model for large code changes, detailed research and business tasks that take many steps.

Should I choose Muse Wonder or Claude Opus 5.5?

Consider Muse Wonder when your priority is Codebase changes. Consider Claude Opus 5.5 when your priority is Codebase changes. Test both with your own data and provider route before committing.

Is this Muse Wonder vs Claude Opus 5.5 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.