Google: Gemini 3.7 Flash vs Google: Gemini 3.6 Flash
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-28.
| Google: Gemini 3.7 Flash | Google: Gemini 3.6 Flash | |
|---|---|---|
| Vendor | ||
| Quality Score | 100 | 100 |
| Benchmark Score | 65.5 | 56.1 |
| Input Price | $0.75/M | $0.75/M |
| Output Price | $3.75/M | $3.75/M |
| Context Window | 1,048,576 | 1,048,576 |
| Max Output | 65,536 | 65,536 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | ✓ |
| Benchmark Scores | ||
| ai_index | 64.4 | 56.1 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, both cost $1.69 at current list prices.
Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.
On our blended benchmark score Gemini 3.7 Flash leads 65.5 to 56.1.
Across the 18 tasks where they differ, Gemini 3.7 Flash scores higher on 18 (SQL Generation, Code Review, Code Completion and others).
Gemini 3.7 Flash was released in August 2026 and Gemini 3.6 Flash in July 2026.
Pick Gemini 3.7 Flash if you need benchmark performance 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 3.7 Flash | Google: Gemini 3.6 Flash |
|---|---|---|
| SQL Generation | 141 | 140 |
| Code Review | 144 | 142 |
| Code Completion | 132 | 132 |
| Code Refactoring | 146 | 145 |
| Bug Fixing | 148 | 146 |
| Unit Test Generation | 131 | 130 |
| Code Documentation | 136 | 136 |
| Regex Writing | 125 | 124 |
| CI/CD Pipelines | 127 | 126 |
| Frontend Component Design | 129 | 128 |
| Data Analysis | 133 | 132 |
| CSV / Spreadsheet Cleanup | 136 | 135 |
| ETL Scripting | 137 | 135 |
| OCR / Document Parsing | 134 | 133 |
| Table Extraction from PDFs | 134 | 133 |
| Long-Document Summarization | 147 | 146 |
| Short-Form Summarization | 126 | 125 |
| Blog Post Writing | 129 | 128 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →