head-to-head
Google: Gemini 3.6 Flash (batch) vs Meta: Muse Spark 1.1
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-13.
| Google: Gemini 3.6 Flash (batch) | Meta: Muse Spark 1.1 | |
|---|---|---|
| Vendor | meta | |
| Quality Score | 100 | 100 |
| Benchmark Score | 84.4 | 85.2 |
| 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 | - |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | ✓ |
| Benchmark Scores | ||
| ai_index | 85.1 | 87.8 |
| ai_index_agentic | 66.8 | 65.6 |
| ai_index_coding | 100.0 | 100.0 |
Who wins by task?
| Task | Google: Gemini 3.6 Flash (batch) | Meta: Muse Spark 1.1 |
|---|---|---|
| SQL Generation | 170 | 170 |
| Code Review | 165 | 166 |
| Code Completion | 132 | 120 |
| Code Refactoring | 163 | 163 |
| Bug Fixing | 178 | 178 |
| Unit Test Generation | 153 | 153 |
| CI/CD Pipelines | 143 | 144 |
| Frontend Component Design | 145 | 146 |
| Data Analysis | 168 | 168 |
| CSV / Spreadsheet Cleanup | 154 | 153 |
| ETL Scripting | 153 | 153 |
| JSON Extraction | 148 | 139 |
| Bulk Data Labeling | 134 | 126 |
| OCR / Document Parsing | 146 | 146 |
| Table Extraction from PDFs | 146 | 146 |
| Long-Document Summarization | 159 | 159 |
| Short-Form Summarization | 131 | 123 |
| Blog Post Writing | 139 | 139 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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