Model comparison
Gemini 3 Pro vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 54.8 on the Noometry Index.
Last verified . 27 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 27 benchmarks with published results for both. Gemini 3 Pro scores higher in 3 categories and Qwen3.8 Max in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.2 to 49.9.
- The biggest single-benchmark swing is ProofBench: 20% for Gemini 3 Pro and 58% for Qwen3.8 Max.
Side by side
| Gemini 3 Pro | Qwen3.8 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 54.8 | 56.8 |
| Released | 2025-11-18 | 2026-08-02 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 67 | 39 |
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Category by category
Coding Qwen3.8 Max leads
Gemini 3 Pro: 51.6 (#39), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| LMArena WebDev | 1440 | 1674 |
| LMArena Coding | 1481 | 1502 |
| SWE-bench Verified | 72.9% | — |
| DeepSWE | — | 57.5% |
| SWE-bench Verified (bash only) | 74.2% | — |
| SWE-bench Multilingual | 68.7% | — |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
| GSO | 18.6% | — |
| WeirdML | 69.9% | — |
| ALE-Bench | 1,177 | — |
| AlgoTune | 1.83 | — |
Agentic & Tool Use Qwen3.8 Max leads
Gemini 3 Pro: 40.6 (#23), Qwen3.8 Max: 45.4 (#14)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| τ²-bench Banking | 18% | 55.1% |
| Terminal-Bench | 69.4% | — |
| APEX-Agents | — | 63.3% |
| Berkeley Function Calling Leaderboard | 72.5% | — |
| GDPval | 40.3% | — |
| Remote Labor Index | 1.3% | — |
| τ²-bench Airline | 80.5% | — |
| τ²-bench Retail | 75.9% | — |
| τ²-bench Telecom | 91% | — |
| DeepResearch Bench | 46.3% | — |
| BALROG | 58.1% | — |
| GDP.pdf | — | 23.2% |
| LMArena Search | 1207 | — |
| METR Time Horizons | 71% | — |
| Vending-Bench 2 | 5,478 | — |
Reasoning Qwen3.8 Max leads
Gemini 3 Pro: 52.5 (#31), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| NYT Connections (extended) | 94.4% | 88.3% |
| CritPt | 6.9% | 20% |
| Chess Puzzles | 31% | 40% |
| LMArena Hard Prompts | 1480 | 1496 |
| Epoch Capabilities Index | 152.92 | 156.41 |
| ARC-AGI-2 | 31.1% | — |
| SimpleBench | 76.4% | — |
| Kagi LLM Benchmark | 80.1% | — |
| ARC-AGI-1 | 75% | — |
| EnigmaEval | 18.2% | — |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| ForecastBench | 61.2 | — |
Math Qwen3.8 Max leads
Gemini 3 Pro: 49.9 (#59), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.4% | 100% |
| ProofBench | 20% | 58% |
| LMArena Math | 1476 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| MathArena Final-Answer Competitions | 67% | — |
| Omni-MATH | 55.5% | — |
| FrontierMath (Feb 2025 set) | 37.6% | — |
| FrontierMath Tier 4 (v1) | 18.8% | — |
Knowledge Gemini 3 Pro leads
Gemini 3 Pro: 64.4 (#16), Qwen3.8 Max: 61.7 (#27)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | 92.6% | 92.7% |
| LMArena Expert | 1475 | 1507 |
| Humanity's Last Exam | 37.5% | — |
| SimpleQA Verified | — | 47.3% |
| MMLU-Pro | 90.3% | — |
| Vectara Hallucination Rate | 13.6% | — |
| GPQA (HELM) | 80.3% | — |
Multimodal Gemini 3 Pro leads
Gemini 3 Pro: 57.6 (#2), Qwen3.8 Max: 37.2 (#75)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | 1305 | 1314 |
| GeoBench | 84% | — |
| VPCT | 91% | — |
| Furniture Assembly | — | 20% |
| LMArena Document | 1434 | — |
Multilingual Too close to call
Gemini 3 Pro: 56.9 (#16), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1474 | 1472 |
| LMArena Chinese | 1523 | 1538 |
| LMArena French | 1492 | 1503 |
| LMArena German | 1515 | 1483 |
| LMArena Japanese | 1510 | 1467 |
| LMArena Korean | 1448 | 1461 |
| LMArena Russian | 1493 | 1481 |
| LMArena Spanish | 1470 | 1492 |
Instruction Following Qwen3.8 Max leads
Gemini 3 Pro: 76.3 (#45), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1458 | 1479 |
| IFEval | 87.7% | — |
Long Context Qwen3.8 Max leads
Gemini 3 Pro: 44.0 (#79), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1471 | 1489 |
| CL-bench | 15.8% | — |
Writing & Preference Too close to call
Gemini 3 Pro: 66.4 (#35), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Gemini 3 Pro | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1479 | 1483 |
| LMArena Creative Writing | 1482 | 1479 |
| LMArena Multi-Turn | 1484 | 1489 |
| EQ-Bench Creative Writing | 1525 | — |
| WildBench | 85.9% | — |
Frequently asked questions
Is Gemini 3 Pro better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 54.8 on the Noometry Index.
Is Gemini 3 Pro or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 51.6 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and Qwen3.8 Max share?
27 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and Qwen3.8 Max has 39.