head-to-head

Meta: Muse Wonder vs Anthropic: Claude Haiku 5.5 (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.

Meta: Muse Wonder Anthropic: Claude Haiku 5.5 (batch)
Vendormetaanthropic
Quality Score100100
Benchmark Score90.273.6
Input Price$4.00/M$0.05/M
Output Price$20.00/M$0.25/M
Context Window1,048,5761,000,000
Max Output943,718128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index86.471.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Claude Haiku 5.5 (batch) costs $0.11 and Muse Wonder costs $9.00, so Claude Haiku 5.5 (batch) is about 80.0 times cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,000,000 tokens, about 1,573 and 1,500 pages.

Only Muse Wonder offers audio input and video input.

On our blended benchmark score Muse Wonder leads 90.2 to 73.6.

Across the 19 tasks where they differ, Muse Wonder scores higher on 10 (Code Review, Code Refactoring, Bug Fixing and others), Claude Haiku 5.5 (batch) on 9 (SQL Generation, Code Completion, Code Documentation and others).

Pick Muse Wonder if you need audio input, video input or benchmark performance; pick Claude Haiku 5.5 (batch) if you need lower cost.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Who wins by task?

TaskMeta: Muse WonderAnthropic: Claude Haiku 5.5 (batch)
SQL Generation 142 142
Code Review 148 145
Code Completion 116 133
Code Refactoring 149 147
Bug Fixing 152 149
Unit Test Generation 134 132
Code Documentation 135 138
Regex Writing 123 127
CI/CD Pipelines 130 128
Frontend Component Design 132 130
Data Analysis 137 134
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 140 138
JSON Extraction 119 131
Bulk Data Labeling 114 129
OCR / Document Parsing 135 134
Table Extraction from PDFs 135 134
Short-Form Summarization 115 127
Blog Post Writing 130 130

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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