head-to-head

OpenAI: GPT-6 Sol vs Meta: Muse Spark 1.3

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-27.

OpenAI: GPT-6 Sol Meta: Muse Spark 1.3
Vendoropenaimeta
Quality Score100100
Benchmark Score81.282.3
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_index78.479.4

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 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 audio input and video input.

On our blended benchmark score Muse Spark 1.3 leads 82.3 to 81.2.

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

Pick Muse Spark 1.3 if you need lower cost, audio input, video input, benchmark performance 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 SolMeta: Muse Spark 1.3
SQL Generation 142 143
Code Review 146 147
Code Completion 119 120
Code Refactoring 148 148
Bug Fixing 150 151
Unit Test Generation 133 133
Code Documentation 136 138
Regex Writing 125 126
CI/CD Pipelines 129 129
Frontend Component Design 131 131
Data Analysis 135 135
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 139 139
JSON Extraction 121 122
Bulk Data Labeling 118 120
OCR / Document Parsing 134 135
Table Extraction from PDFs 134 135
Long-Document Summarization 149 150
Short-Form Summarization 117 118
Blog Post Writing 130 131

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

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