# Gemini 1.5 Pro (May 2024) vs Qwen3.5-9B

> Qwen3.5-9B is the stronger model overall, scoring 33.8 to 32.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-qwen3-5-9b
- Last updated: 2026-10-12
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 1 category and Qwen3.5-9B in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 29.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 61.7% for Qwen3.5-9B.
- Qwen3.5-9B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 32.1 | 33.8 |
| Rank | 261 | 236 |
| Context | — | 262K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.15 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Pro (May 2024): 34.2 (#241)
- Qwen3.5-9B: 35.9 (#217)

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| LMArena Coding | 1294 | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.9 (#145)
- Qwen3.5-9B: 14.5 (#151)

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#338)
- Qwen3.5-9B: 23.1 (#182)

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| DTBench | 59% | 71.2% |
| Epoch Capabilities Index | 131.73 | 139.46 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1296 | — |
| LMCA | — | 24.5% |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |

## Math

- Gemini 1.5 Pro (May 2024): 25.8 (#266)
- Qwen3.5-9B: 34.8 (#192)

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 61.7% |
| MathArena Final-Answer Competitions | — | 48.5% |
| Omni-MATH | 36.4% | — |
| LMArena Math | 1315 | — |
| MATH Level 5 | 70.4% | — |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.4 (#239)
- Qwen3.5-9B: 46.0 (#84)

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 57.2% | 79% |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| LMArena Expert | 1279 | — |
| MMLU | 86.9% | — |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.8 (#77)
- Qwen3.5-9B: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.3 (#174)
- Qwen3.5-9B: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1312 | — |
| LMArena Chinese | 1331 | — |
| LMArena French | 1302 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1320 | — |
| LMArena Spanish | 1311 | — |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.6 (#185)
- Qwen3.5-9B: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| IFEval | 83.7% | — |
| LMArena Instruction Following | 1297 | — |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.8 (#169)
- Qwen3.5-9B: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1308 | — |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.4 (#172)
- Qwen3.5-9B: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1319 | — |
| LMArena Creative Writing | 1333 | — |
| WildBench | 81.3% | — |
| LMArena Multi-Turn | 1296 | — |

## FAQ

### Is Gemini 1.5 Pro (May 2024) better than Qwen3.5-9B?

Qwen3.5-9B is the stronger model overall, scoring 33.8 to 32.1 on the Noometry Index.

### Is Gemini 1.5 Pro (May 2024) or Qwen3.5-9B better for coding?

Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 34.2 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Pro (May 2024) and Qwen3.5-9B share?

4 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Qwen3.5-9B has 10.