head-to-head

OpenAI: GPT-6 Luna vs Meta: Muse Spark 1.3 Contributor

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.

OpenAI: GPT-6 Luna Meta: Muse Spark 1.3 Contributor
Vendoropenaimeta
Quality Score100100
Benchmark Score63.8-
Input Price$0.10/M$0.10/M
Output Price$0.50/M$0.20/M
Context Window1,050,0001,048,576
Max Output128,000943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index62.9-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Spark 1.3 Contributor costs $0.15 and GPT-6 Luna costs $0.23, so Muse Spark 1.3 Contributor is about 1.5 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 Contributor offers video input.

Across the 19 tasks where they differ, GPT-6 Luna scores higher on 18 (SQL Generation, Code Review, Code Completion and others), Muse Spark 1.3 Contributor on 1 (Bulk Data Labeling).

Pick GPT-6 Luna if you need the stronger all-round task scores; pick Muse Spark 1.3 Contributor 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 LunaMeta: Muse Spark 1.3 Contributor
SQL Generation 141 134
Code Review 144 132
Code Completion 133 131
Code Refactoring 146 136
Bug Fixing 148 136
Unit Test Generation 131 124
Code Documentation 137 131
Regex Writing 126 119
CI/CD Pipelines 127 120
Frontend Component Design 129 122
Data Analysis 133 124
CSV / Spreadsheet Cleanup 136 134
ETL Scripting 136 128
Bulk Data Labeling 129 129
OCR / Document Parsing 134 131
Table Extraction from PDFs 134 131
Long-Document Summarization 148 138
Short-Form Summarization 127 123
Blog Post Writing 129 122

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

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