head-to-head

Meta: Muse Spark 1.3 Contributor vs Meta: Muse Spark 1.3

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.

Meta: Muse Spark 1.3 Contributor Meta: Muse Spark 1.3
Vendormetameta
Quality Score100100
Benchmark Score-82.3
Input Price$0.10/M$1.25/M
Output Price$0.20/M$4.25/M
Context Window1,048,5761,048,576
Max Output943,718943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-79.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Spark 1.3 Contributor costs $0.15 and Muse Spark 1.3 costs $2.31, so Muse Spark 1.3 Contributor is about 15.4 times cheaper for the same work.

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

Across the 20 tasks where they differ, Muse Spark 1.3 Contributor scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Muse Spark 1.3 on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick Muse Spark 1.3 Contributor if you need lower cost; pick Muse Spark 1.3 if you need 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 1.3 ContributorMeta: Muse Spark 1.3
SQL Generation 134 143
Code Review 132 147
Code Completion 131 120
Code Refactoring 136 148
Bug Fixing 136 151
Unit Test Generation 124 133
Code Documentation 131 138
Regex Writing 119 126
CI/CD Pipelines 120 129
Frontend Component Design 122 131
Data Analysis 124 135
CSV / Spreadsheet Cleanup 134 136
ETL Scripting 128 139
JSON Extraction 131 122
Bulk Data Labeling 129 120
OCR / Document Parsing 131 135
Table Extraction from PDFs 131 135
Long-Document Summarization 138 150
Short-Form Summarization 123 118
Blog Post Writing 122 131

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

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