# Gemini 3.7 Flash vs Qwen3.5-Flash

> Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 42.3 on the Noometry Index. Qwen3.5-Flash costs 8.6× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-7-flash-vs-qwen3-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Qwen3.5-Flash in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.1 to 32.9.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 71.6% for Gemini 3.7 Flash and 18.2% for Qwen3.5-Flash.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 59.8 | 42.3 |
| Rank | 11 | 105 |
| Context | 1.05M | 1M |
| Input $/M | $0.75 | $0.10 |
| Output $/M | $3.75 | $0.40 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.7 Flash: 55.7 (#19)
- Qwen3.5-Flash: 33.9 (#234)

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1593 | 1243 |
| LMArena Coding | 1499 | 1412 |
| ALE-Bench | 904.3 | 221.8 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.2 (#18)
- Qwen3.5-Flash: —

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
| Vending-Bench 2 | — | 462.69 |

## Reasoning

- Gemini 3.7 Flash: 70.1 (#12)
- Qwen3.5-Flash: 32.9 (#63)

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 47% | 21% |
| LMArena Hard Prompts | 1497 | 1404 |
| Mystery Game Puzzles | 37% | 20% |
| DTBench | 96.8% | 82.9% |
| LMCA | 50.4% | 29.1% |
| Epoch Capabilities Index | 157.72 | 143.98 |
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |

## Math

- Gemini 3.7 Flash: 69.5 (#18)
- Qwen3.5-Flash: 36.3 (#117)

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 71.6% | 18.2% |
| OTIS Mock AIME 2024-2025 | 97.2% | 84.4% |
| LMArena Math | 1511 | 1407 |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Gemini 3.7 Flash: 69.8 (#4)
- Qwen3.5-Flash: 43.2 (#84)

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 94.8% | 82.3% |
| SimpleQA Verified | 69.2% | 20.3% |
| LMArena Expert | 1508 | 1408 |
| Vectara Hallucination Rate | — | 10.5% |

## Multimodal

- Gemini 3.7 Flash: 36.9 (#69)
- Qwen3.5-Flash: —

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Vision | 1314 | — |
| Furniture Assembly | 26.7% | — |

## Multilingual

- Gemini 3.7 Flash: 57.8 (#7)
- Qwen3.5-Flash: 50.7 (#116)

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1485 | 1385 |
| LMArena Chinese | 1553 | 1446 |
| LMArena French | 1512 | 1412 |
| LMArena German | 1485 | 1389 |
| LMArena Japanese | 1506 | 1369 |
| LMArena Korean | 1486 | 1344 |
| LMArena Russian | 1519 | 1379 |
| LMArena Spanish | 1507 | 1399 |

## Instruction Following

- Gemini 3.7 Flash: 78.0 (#12)
- Qwen3.5-Flash: 72.8 (#133)

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1486 | 1374 |

## Long Context

- Gemini 3.7 Flash: 45.8 (#28)
- Qwen3.5-Flash: 42.4 (#119)

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1493 | 1392 |

## Writing & Preference

- Gemini 3.7 Flash: 71.4 (#19)
- Qwen3.5-Flash: 58.2 (#117)

| Benchmark | Gemini 3.7 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1487 | 1397 |
| LMArena Creative Writing | 1490 | 1343 |
| LMArena Multi-Turn | 1495 | 1393 |
| EQ-Bench Creative Writing | 1723 | — |

## FAQ

### Is Gemini 3.7 Flash better than Qwen3.5-Flash?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 42.3 on the Noometry Index. Qwen3.5-Flash costs 8.6× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.7 Flash or Qwen3.5-Flash?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

### Is Gemini 3.7 Flash or Qwen3.5-Flash better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 33.9 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 1M.

### How many benchmarks do Gemini 3.7 Flash and Qwen3.5-Flash share?

28 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Qwen3.5-Flash has 32.