head-to-head

OpenAI: GPT-6.1 Sol vs Meta: Muse Spark 1.3

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-30.

OpenAI: GPT-6.1 Sol Meta: Muse Spark 1.3
Vendoropenaimeta
Quality Score100100
Benchmark Score89.282.3
Input Price$2.00/M$1.25/M
Output Price$10.00/M$4.25/M
Context Window1,050,0001,048,576
Max Output128,000943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index85.579.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Spark 1.3 costs $2.31 and GPT-6.1 Sol costs $4.50, so Muse Spark 1.3 is about 1.9 times cheaper for the same work.

Both take in a similar amount of text: 1,050,000 and 1,048,576 tokens, about 1,575 and 1,573 pages.

Only Muse Spark 1.3 offers video input.

On our blended benchmark score GPT-6.1 Sol leads 89.2 to 82.3.

Across the 20 tasks where they differ, GPT-6.1 Sol scores higher on 13 (SQL Generation, Code Review, Code Refactoring and others), Muse Spark 1.3 on 7 (Code Completion, Code Documentation, Regex Writing and others).

Pick GPT-6.1 Sol if you need benchmark performance; pick Muse Spark 1.3 if you need lower cost or video input.

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?

TaskOpenAI: GPT-6.1 SolMeta: Muse Spark 1.3
SQL Generation 143 143
Code Review 148 147
Code Completion 119 120
Code Refactoring 149 148
Bug Fixing 152 151
Unit Test Generation 134 133
Code Documentation 137 138
Regex Writing 126 126
CI/CD Pipelines 130 129
Frontend Component Design 132 131
Data Analysis 136 135
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 140 139
JSON Extraction 121 122
Bulk Data Labeling 118 120
OCR / Document Parsing 135 135
Table Extraction from PDFs 135 135
Long-Document Summarization 150 150
Short-Form Summarization 117 118
Blog Post Writing 131 131

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

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