Meta: Muse Spark Open vs OpenAI: GPT-6 Luna (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| Meta: Muse Spark Open | OpenAI: GPT-6 Luna (batch) | |
|---|---|---|
| Vendor | meta | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 63.9 | 62.5 |
| Input Price | $1.25/M | $0.05/M |
| Output Price | $4.25/M | $0.25/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 | 62.9 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna (batch) costs $0.11 and Muse Spark Open costs $2.31, so GPT-6 Luna (batch) is about 20.6 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 Open offers audio input and video input.
On our blended benchmark score Muse Spark Open leads 63.9 to 62.5.
Across the 20 tasks where they differ, Muse Spark Open scores higher on 10 (Code Review, Code Refactoring, Bug Fixing and others), GPT-6 Luna (batch) on 10 (SQL Generation, Code Completion, Code Documentation and others).
Muse Spark Open was released in October 2026 and GPT-6 Luna (batch) in September 2026.
Pick Muse Spark Open if you need audio input, video input or benchmark performance; pick GPT-6 Luna (batch) if you need lower cost.
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 Luna (batch) |
|---|---|---|
| SQL Generation | 141 | 141 |
| Code Review | 144 | 144 |
| Code Completion | 120 | 133 |
| Code Refactoring | 146 | 146 |
| Bug Fixing | 148 | 148 |
| Unit Test Generation | 131 | 131 |
| Code Documentation | 136 | 137 |
| Regex Writing | 125 | 126 |
| CI/CD Pipelines | 127 | 127 |
| Frontend Component Design | 129 | 129 |
| Data Analysis | 133 | 133 |
| CSV / Spreadsheet Cleanup | 136 | 136 |
| ETL Scripting | 137 | 136 |
| JSON Extraction | 122 | 131 |
| Bulk Data Labeling | 120 | 129 |
| OCR / Document Parsing | 134 | 134 |
| Table Extraction from PDFs | 134 | 134 |
| Long-Document Summarization | 147 | 148 |
| Short-Form Summarization | 118 | 127 |
| Blog Post Writing | 129 | 129 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →