Meta: Muse Spark 1.2 Contributor vs OpenAI: GPT-5.6 Luna (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-06.
| Meta: Muse Spark 1.2 Contributor | OpenAI: GPT-5.6 Luna (batch) | |
|---|---|---|
| Vendor | meta | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 62.3 |
| Input Price | $0.10/M | $0.10/M |
| Output Price | $0.20/M | $0.60/M |
| Context Window | 1,048,576 | 1,050,000 |
| Max Output | 943,718 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | - | 61.6 |
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 GPT-5.6 Luna (batch) costs $0.25, so Muse Spark 1.2 Contributor is about 1.7 times cheaper for the same work.
Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.
Only Muse Spark 1.2 Contributor offers video input.
Across the 19 tasks where they differ, Muse Spark 1.2 Contributor scores higher on 1 (Bulk Data Labeling), GPT-5.6 Luna (batch) on 18 (SQL Generation, Code Review, Code Completion and others).
Muse Spark 1.2 Contributor was released in August 2026 and GPT-5.6 Luna (batch) in July 2026.
Pick Muse Spark 1.2 Contributor if you need lower cost or video input; pick GPT-5.6 Luna (batch) 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?
| Task | Meta: Muse Spark 1.2 Contributor | OpenAI: GPT-5.6 Luna (batch) |
|---|---|---|
| SQL Generation | 134 | 141 |
| Code Review | 132 | 143 |
| Code Completion | 131 | 133 |
| Code Refactoring | 136 | 145 |
| Bug Fixing | 136 | 147 |
| Unit Test Generation | 124 | 131 |
| Code Documentation | 131 | 137 |
| Regex Writing | 119 | 126 |
| CI/CD Pipelines | 120 | 127 |
| Frontend Component Design | 122 | 129 |
| Data Analysis | 124 | 133 |
| CSV / Spreadsheet Cleanup | 134 | 136 |
| ETL Scripting | 128 | 136 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 131 | 134 |
| Table Extraction from PDFs | 131 | 134 |
| Long-Document Summarization | 138 | 147 |
| Short-Form Summarization | 123 | 126 |
| Blog Post Writing | 122 | 129 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →