head-to-head

Meta: Muse Spark 1.1 vs Anthropic: Claude Sonnet 5 (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

Meta: Muse Spark 1.1 Anthropic: Claude Sonnet 5 (batch)
Vendormetaanthropic
Quality Score100100
Benchmark Score-91.4
Input Price$1.25/M$1.00/M
Output Price$4.25/M$5.00/M
Context Window1,048,5761,000,000
Max Output943,718128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-88.0
ai_index_agentic-77.0
ai_index_coding-100.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Claude Sonnet 5 (batch) costs $2.25 and Muse Spark 1.1 costs $2.31, so Claude Sonnet 5 (batch) is slightly 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 Spark 1.1 offers video input.

Across the 20 tasks where they differ, Claude Sonnet 5 (batch) on 20 (SQL Generation, Code Review, Code Completion and others).

Muse Spark 1.1 was released in July 2026 and Claude Sonnet 5 (batch) in June 2026.

Pick Muse Spark 1.1 if you need video input; pick Claude Sonnet 5 (batch) if you need lower cost or the stronger all-round task scores.

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 Spark 1.1Anthropic: Claude Sonnet 5 (batch)
SQL Generation 133 171
Code Review 132 167
Code Completion 118 120
Code Refactoring 136 164
Bug Fixing 136 180
Unit Test Generation 124 154
Code Documentation 130 143
Regex Writing 118 136
CI/CD Pipelines 120 144
Frontend Component Design 122 146
Data Analysis 124 171
CSV / Spreadsheet Cleanup 133 154
ETL Scripting 128 154
JSON Extraction 122 140
Bulk Data Labeling 120 126
OCR / Document Parsing 131 146
Table Extraction from PDFs 131 146
Long-Document Summarization 137 160
Short-Form Summarization 114 123
Blog Post Writing 121 140

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

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