Model comparison
Claude Sonnet 5 vs Gemini 3.7 Flash
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 54.6 on the Noometry Index.
Last verified . 38 shared benchmarks.
GoogleSummary
- They share 38 benchmarks with published results for both. Claude Sonnet 5 scores higher in 2 categories and Gemini 3.7 Flash in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 49.1.
- The biggest single-benchmark swing is SimpleQA Verified: 33.7% for Claude Sonnet 5 and 69.2% for Gemini 3.7 Flash.
- Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Sonnet 5 | Gemini 3.7 Flash | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 54.6 | 59.8 |
| Released | 2026-06-29 | 2026-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 66K |
| Input $ / M tokens | $2 | $0.75 |
| Output $ / M tokens | $10 | $3.75 |
| Results tracked | 51 | 44 |
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Category by category
Coding Too close to call
Claude Sonnet 5: 55.5 (#26), Gemini 3.7 Flash: 56.2 (#22)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| DeepSWE | 53.8% | 65.5% |
| FrontierCode | 42.7% | 43.6% |
| LMArena WebDev | 1541 | 1592 |
| SciCode | 54.3% | 59.8% |
| LMArena Coding | 1483 | 1497 |
| ALE-Bench | 1,463 | 904.3 |
| CursorBench | 34.1% | — |
| FrontierSWE | — | 20.3% |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
Agentic & Tool Use Too close to call
Claude Sonnet 5: 42.8 (#18), Gemini 3.7 Flash: 42.1 (#19)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| APEX-Agents | 54.5% | 67.8% |
| Remote Labor Index | — | 5% |
| GBAEval | 65.3% | — |
| GDP.pdf | — | 23.8% |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |
Reasoning Gemini 3.7 Flash leads
Claude Sonnet 5: 49.1 (#39), Gemini 3.7 Flash: 70.0 (#15)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | 75.1% | 94% |
| CritPt | 16.9% | 14.3% |
| Chess Puzzles | 35% | 47% |
| LMArena Hard Prompts | 1461 | 1494 |
| Mystery Game Puzzles | 35% | 37% |
| DTBench | 92.5% | 96.8% |
| LMCA | 50% | 50.4% |
| Epoch Capabilities Index | 156.21 | 157.27 |
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | 60.6% | — |
| ARC-AGI-1 | — | 95.5% |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |
| ForecastBench | 61.1 | — |
Math Gemini 3.7 Flash leads
Claude Sonnet 5: 66.2 (#27), Gemini 3.7 Flash: 69.6 (#23)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 65.6% | 71.6% |
| FrontierMath Tier 4 | 29.3% | 36.6% |
| OTIS Mock AIME 2024-2025 | 94.7% | 97.2% |
| ProofBench | 77% | 58% |
| LMArena Math | 1467 | 1507 |
Knowledge Gemini 3.7 Flash leads
Claude Sonnet 5: 55.6 (#47), Gemini 3.7 Flash: 69.7 (#5)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| GPQA Diamond | 90.5% | 94.8% |
| SimpleQA Verified | 33.7% | 69.2% |
| LMArena Expert | 1490 | 1508 |
Multimodal Claude Sonnet 5 leads
Claude Sonnet 5: 42.4 (#31), Gemini 3.7 Flash: 37.3 (#73)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| LMArena Vision | 1274 | 1316 |
| Blueprint-Bench 2 | 24.9% | — |
| Furniture Assembly | — | 26.7% |
| LMArena Document | 1466 | — |
Multilingual Gemini 3.7 Flash leads
Claude Sonnet 5: 53.8 (#55), Gemini 3.7 Flash: 57.6 (#7)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1431 | 1484 |
| LMArena Chinese | 1477 | 1548 |
| LMArena French | 1460 | 1505 |
| LMArena German | 1440 | 1498 |
| LMArena Japanese | 1422 | 1512 |
| LMArena Korean | 1411 | 1483 |
| LMArena Russian | 1451 | 1516 |
| LMArena Spanish | 1437 | 1503 |
Instruction Following Gemini 3.7 Flash leads
Claude Sonnet 5: 76.3 (#41), Gemini 3.7 Flash: 77.7 (#15)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1452 | 1483 |
Long Context Too close to call
Claude Sonnet 5: 44.8 (#55), Gemini 3.7 Flash: 45.7 (#30)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1463 | 1492 |
Writing & Preference Gemini 3.7 Flash leads
Claude Sonnet 5: 69.2 (#25), Gemini 3.7 Flash: 71.2 (#20)
| Benchmark | Claude Sonnet 5 | Gemini 3.7 Flash |
|---|---|---|
| LMArena Text | 1442 | 1486 |
| LMArena Creative Writing | 1416 | 1490 |
| EQ-Bench Creative Writing | 1794 | 1723 |
| LMArena Multi-Turn | 1454 | 1489 |
| EQ-Bench 4 | 1236 | — |
Frequently asked questions
Is Claude Sonnet 5 better than Gemini 3.7 Flash?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 54.6 on the Noometry Index.
Which is cheaper, Claude Sonnet 5 or Gemini 3.7 Flash?
Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Claude Sonnet 5 lists at $2 and $10.
Is Claude Sonnet 5 or Gemini 3.7 Flash better for coding?
They score almost the same on coding (55.5 vs 56.2); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 5 and Gemini 3.7 Flash share?
38 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Gemini 3.7 Flash has 44.