Google: Gemini 3.7 Flash vs Meta: Muse Spark 1.2
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-28.
| Google: Gemini 3.7 Flash | Meta: Muse Spark 1.2 | |
|---|---|---|
| Vendor | meta | |
| Quality Score | 100 | 100 |
| Benchmark Score | 65.5 | 66.5 |
| 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 | ✓ | ✓ |
| Benchmark Scores | ||
| ai_index | 64.4 | 65.3 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.7 Flash costs $1.69 and Muse Spark 1.2 costs $2.31, so Gemini 3.7 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.
On our blended benchmark score Muse Spark 1.2 leads 66.5 to 65.5.
Across the 16 tasks where they differ, Gemini 3.7 Flash scores higher on 6 (Code Completion, Code Documentation, Regex Writing and others), Muse Spark 1.2 on 10 (Code Review, Code Refactoring, Bug Fixing and others).
Pick Gemini 3.7 Flash if you need lower cost; pick Muse Spark 1.2 if you need benchmark performance.
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 3.7 Flash | Meta: Muse Spark 1.2 |
|---|---|---|
| Code Review | 144 | 144 |
| Code Completion | 132 | 120 |
| Code Refactoring | 146 | 146 |
| Bug Fixing | 148 | 148 |
| Unit Test Generation | 131 | 131 |
| Code Documentation | 136 | 136 |
| Regex Writing | 125 | 125 |
| CI/CD Pipelines | 127 | 127 |
| Frontend Component Design | 129 | 129 |
| Data Analysis | 133 | 133 |
| ETL Scripting | 137 | 137 |
| JSON Extraction | 131 | 122 |
| Bulk Data Labeling | 128 | 120 |
| OCR / Document Parsing | 134 | 134 |
| Table Extraction from PDFs | 134 | 134 |
| Short-Form Summarization | 126 | 118 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →