Model comparison
Gemini 3 Deep Think vs Qwen3 Max
Qwen3 Max has enough public results to be ranked (#87); 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 22.6.
Side by side
| Gemini 3 Deep Think | Qwen3 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 58.3 | 43.7 |
| Released | 2026-02-12 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $6 |
| Results tracked | 3 | 33 |
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Category by category
Coding Not comparable
Gemini 3 Deep Think: —, Qwen3 Max: 43.0 (#93)
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| LMArena Coding | — | 1456 |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
Gemini 3 Deep Think: —, Qwen3 Max: —
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |
Reasoning Gemini 3 Deep Think leads
Gemini 3 Deep Think: 70.2 (#14), Qwen3 Max: 22.6 (#190)
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| ARC-AGI-1 | 96% | — |
| CritPt | 25.7% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LMCA | — | 28.3% |
| Epoch Capabilities Index | — | 142.38 |
Math Not comparable
Gemini 3 Deep Think: —, Qwen3 Max: 38.7 (#131)
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LMArena Math | — | 1446 |
| MATH Level 5 | — | 97.1% |
Knowledge Not comparable
Gemini 3 Deep Think: —, Qwen3 Max: 48.1 (#78)
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| LMArena Expert | — | 1455 |
Multilingual Not comparable
Gemini 3 Deep Think: —, Qwen3 Max: 53.7 (#62)
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| LMArena Non-English | — | 1429 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1449 |
| LMArena German | — | 1463 |
| LMArena Japanese | — | 1397 |
| LMArena Korean | — | 1399 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1462 |
Instruction Following Not comparable
Gemini 3 Deep Think: —, Qwen3 Max: 74.8 (#87)
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | — | 1419 |
Long Context Not comparable
Gemini 3 Deep Think: —, Qwen3 Max: 41.6 (#134)
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
| LMArena Longer Query | — | 1438 |
Writing & Preference Not comparable
Gemini 3 Deep Think: —, Qwen3 Max: 62.4 (#76)
| Benchmark | Gemini 3 Deep Think | Qwen3 Max |
|---|---|---|
| LMArena Text | — | 1439 |
| LMArena Creative Writing | — | 1402 |
| LMArena Multi-Turn | — | 1446 |
Frequently asked questions
Is Gemini 3 Deep Think better than Qwen3 Max?
Qwen3 Max has enough public results to be ranked (#87); Gemini 3 Deep Think does not yet, so treat this comparison as directional.
How many benchmarks do Gemini 3 Deep Think and Qwen3 Max share?
0 benchmarks have published results for both models. Gemini 3 Deep Think has 3 scored results on Noometry and Qwen3 Max has 33.