head-to-head

OpenAI: GPT-6.1 Sol Pro (batch) 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 Pro (batch) Meta: Muse Spark 1.3
Vendoropenaimeta
Quality Score100100
Benchmark Score-82.3
Input Price$1.00/M$1.25/M
Output Price$5.00/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_index-79.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6.1 Sol Pro (batch) costs $2.25 and Muse Spark 1.3 costs $2.31, so GPT-6.1 Sol Pro (batch) is slightly 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.

Across the 20 tasks where they differ, Muse Spark 1.3 on 20 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-6.1 Sol Pro (batch) if you need lower cost; pick Muse Spark 1.3 if you need video input or 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?

TaskOpenAI: GPT-6.1 Sol Pro (batch)Meta: Muse Spark 1.3
SQL Generation 133 143
Code Review 132 147
Code Completion 118 120
Code Refactoring 136 148
Bug Fixing 136 151
Unit Test Generation 124 133
Code Documentation 130 138
Regex Writing 118 126
CI/CD Pipelines 120 129
Frontend Component Design 122 131
Data Analysis 124 135
CSV / Spreadsheet Cleanup 133 136
ETL Scripting 128 139
JSON Extraction 122 122
Bulk Data Labeling 120 120
OCR / Document Parsing 131 135
Table Extraction from PDFs 131 135
Long-Document Summarization 137 150
Short-Form Summarization 114 118
Blog Post Writing 121 131

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

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