OpenAI: GPT-6 Sol Pro (batch) vs Meta: Muse Spark 1.3
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-6 Sol Pro (batch) | Meta: Muse Spark 1.3 | |
|---|---|---|
| Vendor | openai | meta |
| Quality Score | 100 | 100 |
| Input Price | $1.00/M | $1.25/M |
| Output Price | $5.00/M | $4.25/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 Sol Pro (batch) costs $2.25 and Muse Spark 1.3 costs $2.31, so GPT-6 Sol Pro (batch) is slightly 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 video input.
Across the 7 tasks where they differ, Muse Spark 1.3 on 7 (Code Completion, Code Documentation, Regex Writing and others).
Pick GPT-6 Sol Pro (batch) if you need lower cost; pick Muse Spark 1.3 if you need 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 | OpenAI: GPT-6 Sol Pro (batch) | Meta: Muse Spark 1.3 |
|---|---|---|
| Code Completion | 118 | 118 |
| Code Documentation | 130 | 130 |
| Regex Writing | 118 | 118 |
| JSON Extraction | 122 | 122 |
| Bulk Data Labeling | 120 | 120 |
| Short-Form Summarization | 114 | 114 |
| Blog Post Writing | 121 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →