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Claude Opus 5.5 vs. Meta Muse Wonder: Agentic Coding Models

Context windowOpus 5.5: 1M tokens · Muse Wonder: 1,048,576 tokens
Max outputOpus 5.5: 128K (300K on Batch API, beta) · Muse Wonder: not stated on the models page
Price per 1M tokens (input / output)Opus 5.5: $4 / $20 · Muse Wonder: see Meta pricing page (not on models page)
InputsOpus 5.5: text and images · Muse Wonder: text, image, video, audio, PDF
StatusOpus 5.5: latest · Muse Wonder: preview

Overview

Anthropic now recommends Claude Opus 5.5 as the starting point for most workloads. Meta calls Muse Wonder its most capable model, built for complex software engineering and long-horizon agentic work. Muse Wonder is currently in preview.

Claude Opus 5.5

  • Model ID claude-opus-5-5, with a 1M-token context window and 128K max output (up to 300K on the Batch API with a beta header).
  • $4 per 1M input tokens and $20 per 1M output tokens, with cache reads at 5% of the input price.
  • Adaptive thinking is always on with default effort medium. The reliable knowledge cutoff is June 2026.
  • Available on the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS.
  • Meta Muse Wonder

  • Model ID muse-wonder-1.0. Accepts text, image, video, audio and PDF input with text output, and has a 1,048,576-token context window.
  • Reasoning effort ranges from minimal to max. It supports tool calling, structured output, search grounding and computer use.
  • Available on Meta Model API (Standard mode only) and in Muse Code. A higher-capability Muse Wonder Full is only in Muse Code on the Power Usage and Maximum Usage plans.
  • Not currently available in South Korea. Meta's models page does not list token prices; they are on Meta's pricing page.
  • How to choose

  • Opus 5.5 is generally available on all the major clouds, with published prices and lifecycle dates.
  • Muse Wonder accepts more input types (video, audio, PDF) but is still in preview, so check availability and pricing for your region first.
  • Neither vendor publishes a shared benchmark that compares the two directly.
  • No hands-on testing was conducted for this comparison. Every figure above comes from the official pages listed under Research sources, as published on or before October 22, 2026. Where a vendor has not published a number, we say so instead of estimating it.

    Research sources