Model comparison
Gemini 1.5 Pro (May 2024) vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 32.1 on the Noometry Index.
Last verified . 5 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and Qwen3.6 35B-A3B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.3 to 29.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 86.7% for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 32.1 | 37.6 |
| Released | 2024-02-15 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 45 | 14 |
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Category by category
Coding Qwen3.6 35B-A3B leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Qwen3.6 35B-A3B: 37.2 (#196)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| WeirdML | 22.2% | 34.5% |
| SciCode | — | 35.8% |
| BigCodeBench Instruct | 43.8% | — |
| LMArena Coding | 1294 | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Qwen3.6 35B-A3B leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Qwen3.6 35B-A3B leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| DTBench | 59% | 73.9% |
| Epoch Capabilities Index | 131.73 | 143.93 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| LMArena Hard Prompts | 1296 | — |
| Mystery Game Puzzles | — | 22% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math Qwen3.6 35B-A3B leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 20.4% |
| Omni-MATH | 36.4% | — |
| LMArena Math | 1315 | — |
| MATH Level 5 | 70.4% | — |
Knowledge Qwen3.6 35B-A3B leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | 57.2% | 84.8% |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| LMArena Expert | 1279 | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), Qwen3.6 35B-A3B: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Not comparable
Gemini 1.5 Pro (May 2024): 45.3 (#174), Qwen3.6 35B-A3B: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| 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 Not comparable
Gemini 1.5 Pro (May 2024): 68.6 (#185), Qwen3.6 35B-A3B: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| IFEval | 83.7% | — |
| LMArena Instruction Following | 1297 | — |
Long Context Not comparable
Gemini 1.5 Pro (May 2024): 39.8 (#169), Qwen3.6 35B-A3B: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1308 | — |
Writing & Preference Not comparable
Gemini 1.5 Pro (May 2024): 52.4 (#172), Qwen3.6 35B-A3B: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen3.6 35B-A3B |
|---|---|---|
| LMArena Text | 1319 | — |
| LMArena Creative Writing | 1333 | — |
| WildBench | 81.3% | — |
| LMArena Multi-Turn | 1296 | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.6 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Qwen3.6 35B-A3B better for coding?
Qwen3.6 35B-A3B scores higher on coding benchmarks: 37.2 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Qwen3.6 35B-A3B share?
5 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Qwen3.6 35B-A3B has 14.