head-to-head
OpenAI: GPT-6 Luna Pro (batch) 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 Pro (batch) | Meta: Muse Spark 1.3 Contributor | |
|---|---|---|
| Vendor | openai | meta |
| Quality Score | 100 | 100 |
| Input Price | $0.05/M | $0.10/M |
| Output Price | $0.25/M | $0.20/M |
| Context Window | 1,050,000 | 1,048,576 |
| Max Output | 128,000 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna Pro (batch) costs $0.11 and Muse Spark 1.3 Contributor costs $0.15, so GPT-6 Luna Pro (batch) is about 1.3 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.
Pick GPT-6 Luna Pro (batch) if you need lower cost; pick Muse Spark 1.3 Contributor if you need video input.
Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.
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