head-to-head
Meta: Muse Spark 1.2 vs Google: Gemini 3.6 Flash
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-13.
| Meta: Muse Spark 1.2 | Google: Gemini 3.6 Flash | |
|---|---|---|
| Vendor | meta | |
| Quality Score | 100 | 100 |
| Benchmark Score | 92.4 | 84.4 |
| Input Price | $1.25/M | $1.50/M |
| Output Price | $4.25/M | $7.50/M |
| Context Window | 1,048,576 | 1,048,576 |
| Max Output | - | 65,536 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | ✓ |
| Benchmark Scores | ||
| ai_index | 93.7 | 85.1 |
| ai_index_agentic | 81.4 | 66.8 |
| ai_index_coding | 100.0 | 100.0 |
Who wins by task?
| Task | Meta: Muse Spark 1.2 | Google: Gemini 3.6 Flash |
|---|---|---|
| SQL Generation | 173 | 169 |
| Code Review | 168 | 165 |
| Code Completion | 120 | 119 |
| Code Refactoring | 165 | 163 |
| Bug Fixing | 182 | 178 |
| Unit Test Generation | 155 | 153 |
| Code Documentation | 143 | 141 |
| Regex Writing | 137 | 134 |
| CI/CD Pipelines | 145 | 143 |
| Frontend Component Design | 147 | 145 |
| Data Analysis | 173 | 168 |
| CSV / Spreadsheet Cleanup | 154 | 153 |
| ETL Scripting | 155 | 153 |
| JSON Extraction | 140 | 139 |
| Bulk Data Labeling | 126 | 125 |
| OCR / Document Parsing | 147 | 146 |
| Table Extraction from PDFs | 147 | 146 |
| Long-Document Summarization | 161 | 158 |
| Short-Form Summarization | 124 | 122 |
| Blog Post Writing | 141 | 139 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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