head-to-head

Meta: Muse Spark Open vs Meta: Muse Wonder

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.

Meta: Muse Spark Open Meta: Muse Wonder
Vendormetameta
Quality Score100100
Benchmark Score63.989.9
Input Price$1.25/M$4.00/M
Output Price$4.25/M$20.00/M
Context Window1,048,5761,048,576
Max Output943,718943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓✓
Benchmark Scores
ai_index64.186.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Spark Open costs $2.31 and Muse Wonder costs $9.00, so Muse Spark Open is about 3.9 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

On our blended benchmark score Muse Wonder leads 89.9 to 63.9.

Across the 20 tasks where they differ, Muse Spark Open scores higher on 7 (Code Completion, Code Documentation, Regex Writing and others), Muse Wonder on 13 (SQL Generation, Code Review, Code Refactoring and others).

Pick Muse Spark Open if you need lower cost; pick Muse Wonder if you need benchmark performance.

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 OpenMeta: Muse Wonder
SQL Generation 141 142
Code Review 144 148
Code Completion 120 116
Code Refactoring 146 149
Bug Fixing 148 152
Unit Test Generation 131 134
Code Documentation 136 135
Regex Writing 125 123
CI/CD Pipelines 127 130
Frontend Component Design 129 132
Data Analysis 133 137
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 137 140
JSON Extraction 122 119
Bulk Data Labeling 120 114
OCR / Document Parsing 134 135
Table Extraction from PDFs 134 135
Long-Document Summarization 147 149
Short-Form Summarization 118 115
Blog Post Writing 129 130

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

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