Meta: Muse Spark Open vs OpenAI: GPT-6.1 Sol (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| Meta: Muse Spark Open | OpenAI: GPT-6.1 Sol (batch) | |
|---|---|---|
| Vendor | meta | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 63.9 | 88.8 |
| Input Price | $1.25/M | $1.00/M |
| Output Price | $4.25/M | $5.00/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 | 64.1 | 85.5 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6.1 Sol (batch) costs $2.25 and Muse Spark Open costs $2.31, so GPT-6.1 Sol (batch) is slightly 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 Open offers audio input and video input.
On our blended benchmark score GPT-6.1 Sol (batch) leads 88.8 to 63.9.
Across the 20 tasks where they differ, Muse Spark Open scores higher on 2 (JSON Extraction, Bulk Data Labeling), GPT-6.1 Sol (batch) on 18 (SQL Generation, Code Review, Code Completion and others).
Muse Spark Open was released in October 2026 and GPT-6.1 Sol (batch) in September 2026.
Pick Muse Spark Open if you need audio input or video input; pick GPT-6.1 Sol (batch) if you need lower cost, benchmark performance 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 Open | OpenAI: GPT-6.1 Sol (batch) |
|---|---|---|
| SQL Generation | 141 | 143 |
| Code Review | 144 | 148 |
| Code Completion | 120 | 120 |
| Code Refactoring | 146 | 149 |
| Bug Fixing | 148 | 152 |
| Unit Test Generation | 131 | 134 |
| Code Documentation | 136 | 138 |
| Regex Writing | 125 | 127 |
| CI/CD Pipelines | 127 | 130 |
| Frontend Component Design | 129 | 132 |
| Data Analysis | 133 | 136 |
| CSV / Spreadsheet Cleanup | 136 | 136 |
| ETL Scripting | 137 | 140 |
| JSON Extraction | 122 | 122 |
| Bulk Data Labeling | 120 | 120 |
| OCR / Document Parsing | 134 | 135 |
| Table Extraction from PDFs | 134 | 135 |
| Long-Document Summarization | 147 | 151 |
| Short-Form Summarization | 118 | 119 |
| Blog Post Writing | 129 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →