Google: Gemini 3.6 Flash vs Meta: Muse Spark 1.1
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-22.
| Google: Gemini 3.6 Flash | Meta: Muse Spark 1.1 | |
|---|---|---|
| Vendor | meta | |
| Quality Score | 100 | 100 |
| Input Price | $0.75/M | $1.25/M |
| Output Price | $3.75/M | $4.25/M |
| Context Window | 1,048,576 | 1,048,576 |
| Max Output | 65,536 | 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, Gemini 3.6 Flash costs $1.69 and Muse Spark 1.1 costs $2.31, so Gemini 3.6 Flash is about 1.4 times cheaper for the same work.
Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.
Only Gemini 3.6 Flash offers audio input.
Across the 9 tasks where they differ, Gemini 3.6 Flash scores higher on 9 (SQL Generation, Code Completion, Code Documentation and others).
Pick Gemini 3.6 Flash if you need lower cost, audio 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 | Google: Gemini 3.6 Flash | Meta: Muse Spark 1.1 |
|---|---|---|
| SQL Generation | 133 | 133 |
| Code Completion | 131 | 118 |
| Code Documentation | 131 | 130 |
| Regex Writing | 119 | 118 |
| CSV / Spreadsheet Cleanup | 133 | 133 |
| JSON Extraction | 131 | 122 |
| Bulk Data Labeling | 128 | 120 |
| Long-Document Summarization | 137 | 137 |
| Short-Form Summarization | 123 | 114 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →