Meta: Muse Spark 1.2 Contributor vs OpenAI: GPT-5.6 Luna Pro (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 Pro (batch) | |
|---|---|---|
| Vendor | meta | openai |
| Quality Score | 100 | 100 |
| 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 | - | - |
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 Pro (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 5 tasks where they differ, Muse Spark 1.2 Contributor scores higher on 5 (SQL Generation, CSV / Spreadsheet Cleanup, Bulk Data Labeling and others).
Muse Spark 1.2 Contributor was released in August 2026 and GPT-5.6 Luna Pro (batch) in July 2026.
Pick Muse Spark 1.2 Contributor if you need lower cost, 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?
| Task | Meta: Muse Spark 1.2 Contributor | OpenAI: GPT-5.6 Luna Pro (batch) |
|---|---|---|
| SQL Generation | 134 | 133 |
| CSV / Spreadsheet Cleanup | 134 | 133 |
| Bulk Data Labeling | 129 | 129 |
| Long-Document Summarization | 138 | 137 |
| Blog Post Writing | 122 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →