# Gemini 1.5 Flash (May 2024) vs Qwen3.5 27B

> Qwen3.5 27B is the stronger model overall, scoring 41.9 to 33.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-vs-qwen3-5-27b
- Last updated: 2026-10-12
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and Qwen3.5 27B in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.5 27B leads 38.8 to 22.1.
- The biggest single-benchmark swing is DTBench: 53.8% for Gemini 1.5 Flash (May 2024) and 82.4% for Qwen3.5 27B.
- Qwen3.5 27B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 33.2 | 41.9 |
| Rank | 246 | 127 |
| Context | — | 262K |
| Input $/M | — | $0.30 |
| Output $/M | — | $2.40 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Flash (May 2024): 34.4 (#236)
- Qwen3.5 27B: 38.9 (#168)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| WeirdML | 24.9% | 39.5% |
| LMArena Coding | 1261 | 1427 |
| LMArena WebDev | — | 1358 |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 349.45 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |

## Agentic & Tool Use

- Gemini 1.5 Flash (May 2024): 26.6 (#102)
- Qwen3.5 27B: —

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| BALROG | 14.6% | — |
| Vending-Bench 2 | — | 201.98 |

## Reasoning

- Gemini 1.5 Flash (May 2024): 21.7 (#215)
- Qwen3.5 27B: 27.5 (#117)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1414 |
| DTBench | 53.8% | 82.4% |
| NYT Connections (extended) | — | 47.9% |
| Thematic Generalization | — | 45.5% |
| LMCA | — | 34% |
| Epoch Capabilities Index | 129.36 | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |

## Math

- Gemini 1.5 Flash (May 2024): 22.1 (#281)
- Qwen3.5 27B: 38.8 (#127)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1269 | 1429 |
| MathArena Final-Answer Competitions | — | 56.7% |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |

## Knowledge

- Gemini 1.5 Flash (May 2024): 26.2 (#260)
- Qwen3.5 27B: 38.0 (#150)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| LMArena Expert | 1233 | 1428 |
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| Vectara Hallucination Rate | — | 12.1% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |

## Multimodal

- Gemini 1.5 Flash (May 2024): 36.0 (#81)
- Qwen3.5 27B: 39.4 (#59)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | 1141 | 1241 |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |

## Multilingual

- Gemini 1.5 Flash (May 2024): 42.9 (#189)
- Qwen3.5 27B: 50.8 (#115)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1278 | 1390 |
| LMArena Chinese | 1295 | 1478 |
| LMArena French | 1258 | 1410 |
| LMArena German | 1262 | 1393 |
| LMArena Japanese | 1252 | 1345 |
| LMArena Korean | 1221 | 1358 |
| LMArena Russian | 1288 | 1390 |
| LMArena Spanish | 1243 | 1407 |

## Instruction Following

- Gemini 1.5 Flash (May 2024): 66.8 (#205)
- Qwen3.5 27B: 73.5 (#119)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1393 |
| IFEval | 83.1% | — |

## Long Context

- Gemini 1.5 Flash (May 2024): 39.0 (#187)
- Qwen3.5 27B: 43.1 (#106)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1284 | 1413 |

## Writing & Preference

- Gemini 1.5 Flash (May 2024): 48.7 (#196)
- Qwen3.5 27B: 59.3 (#111)

| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1287 | 1409 |
| LMArena Creative Writing | 1285 | 1362 |
| LMArena Multi-Turn | 1253 | 1410 |
| WildBench | 79.2% | — |

## FAQ

### Is Gemini 1.5 Flash (May 2024) better than Qwen3.5 27B?

Qwen3.5 27B is the stronger model overall, scoring 41.9 to 33.2 on the Noometry Index.

### Is Gemini 1.5 Flash (May 2024) or Qwen3.5 27B better for coding?

Qwen3.5 27B scores higher on coding benchmarks: 38.9 versus 34.4 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Flash (May 2024) and Qwen3.5 27B share?

20 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Qwen3.5 27B has 28.