head-to-head

Meta: Muse Spark 1.2 Contributor vs Meta: Muse Spark 1.1

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-06.

Meta: Muse Spark 1.2 Contributor Meta: Muse Spark 1.1
Vendormetameta
Quality Score100100
Benchmark Score-55.7
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-55.7

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 1.1 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 1.2 Contributor scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Muse Spark 1.1 on 16 (SQL Generation, Code Review, Code Refactoring and others).

Muse Spark 1.2 Contributor was released in August 2026 and Muse Spark 1.1 in July 2026.

Pick Muse Spark 1.2 Contributor if you need lower cost; pick Muse Spark 1.1 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 1.2 ContributorMeta: Muse Spark 1.1
SQL Generation 134 140
Code Review 132 142
Code Completion 131 120
Code Refactoring 136 144
Bug Fixing 136 146
Unit Test Generation 124 130
Code Documentation 131 135
Regex Writing 119 124
CI/CD Pipelines 120 126
Frontend Component Design 122 128
Data Analysis 124 132
CSV / Spreadsheet Cleanup 134 135
ETL Scripting 128 135
JSON Extraction 131 122
Bulk Data Labeling 129 120
OCR / Document Parsing 131 133
Table Extraction from PDFs 131 133
Long-Document Summarization 138 146
Short-Form Summarization 123 117
Blog Post Writing 122 128

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

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