Model comparison
Gemini 3 Deep Think vs Qwen2.5-Max
Qwen2.5-Max has enough public results to be ranked (#146); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Google
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Gemini 3 Deep Think leads 70.2 to 25.6.
Side by side
| Gemini 3 Deep Think | Qwen2.5-Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 58.3 | 40.7 |
| Released | 2026-02-12 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 3 | 27 |
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Category by category
Coding Not comparable
Gemini 3 Deep Think: —, Qwen2.5-Max: 41.8 (#117)
| Benchmark | Gemini 3 Deep Think | Qwen2.5-Max |
|---|---|---|
| LiveBench Coding | — | 64.4% |
| LMArena Coding | — | 1359 |
Reasoning Gemini 3 Deep Think leads
Gemini 3 Deep Think: 70.2 (#14), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Gemini 3 Deep Think | Qwen2.5-Max |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| ARC-AGI-1 | 96% | — |
| CritPt | 25.7% | — |
| LiveBench Reasoning | — | 51.4% |
| LMArena Hard Prompts | — | 1360 |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.53 |
| LiveBench | — | 62.3% |
Math Not comparable
Gemini 3 Deep Think: —, Qwen2.5-Max: 36.9 (#162)
| Benchmark | Gemini 3 Deep Think | Qwen2.5-Max |
|---|---|---|
| LiveBench Math | — | 58.4% |
| LMArena Math | — | 1369 |
Knowledge Not comparable
Gemini 3 Deep Think: —, Qwen2.5-Max: 35.3 (#186)
| Benchmark | Gemini 3 Deep Think | Qwen2.5-Max |
|---|---|---|
| Confabulations | — | 21.8% |
| LMArena Expert | — | 1337 |
Multilingual Not comparable
Gemini 3 Deep Think: —, Qwen2.5-Max: 48.1 (#146)
| Benchmark | Gemini 3 Deep Think | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | — | 1352 |
| LMArena Chinese | — | 1382 |
| LMArena French | — | 1396 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1300 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1353 |
| LMArena Spanish | — | 1377 |
Instruction Following Not comparable
Gemini 3 Deep Think: —, Qwen2.5-Max: 71.3 (#152)
| Benchmark | Gemini 3 Deep Think | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | — | 75.3% |
| LMArena Instruction Following | — | 1335 |
Long Context Not comparable
Gemini 3 Deep Think: —, Qwen2.5-Max: 41.4 (#142)
| Benchmark | Gemini 3 Deep Think | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | — | 1358 |
Writing & Preference Not comparable
Gemini 3 Deep Think: —, Qwen2.5-Max: 55.4 (#146)
| Benchmark | Gemini 3 Deep Think | Qwen2.5-Max |
|---|---|---|
| LMArena Text | — | 1367 |
| LMArena Creative Writing | — | 1339 |
| Short-Story Creative Writing | — | 72.9% |
| LMArena Multi-Turn | — | 1364 |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Gemini 3 Deep Think better than Qwen2.5-Max?
Qwen2.5-Max has enough public results to be ranked (#146); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
How many benchmarks do Gemini 3 Deep Think and Qwen2.5-Max share?
0 benchmarks have published results for both models. Gemini 3 Deep Think has 3 scored results on Noometry and Qwen2.5-Max has 27.