head-to-head

Meta: Muse Spark 1.3 vs Meta: Muse Spark 1.2 Contributor

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

Meta: Muse Spark 1.3 Meta: Muse Spark 1.2 Contributor
Vendormetameta
Quality Score100100
Benchmark Score82.3-
Input Price$1.25/M$0.10/M
Output Price$4.25/M$0.20/M
Context Window1,048,5761,048,576
Max Output943,718943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index79.4-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Spark 1.2 Contributor costs $0.15 and Muse Spark 1.3 costs $2.31, so Muse Spark 1.2 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 scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Muse Spark 1.2 Contributor on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Muse Spark 1.3 was released in September 2026 and Muse Spark 1.2 Contributor in August 2026.

Pick Muse Spark 1.3 if you need the stronger all-round task scores; pick Muse Spark 1.2 Contributor 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 Spark 1.3Meta: Muse Spark 1.2 Contributor
SQL Generation 143 134
Code Review 147 132
Code Completion 120 131
Code Refactoring 148 136
Bug Fixing 151 136
Unit Test Generation 133 124
Code Documentation 138 131
Regex Writing 126 119
CI/CD Pipelines 129 120
Frontend Component Design 131 122
Data Analysis 135 124
CSV / Spreadsheet Cleanup 136 134
ETL Scripting 139 128
JSON Extraction 122 131
Bulk Data Labeling 120 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 150 138
Short-Form Summarization 118 123
Blog Post Writing 131 122

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

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