Model comparison
Gemini 2.0 Flash (Feb 2025) vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 35.1 on the Noometry Index.
Last verified . 24 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 24 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and Qwen3 Max in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 32.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Gemini 2.0 Flash (Feb 2025) and 72.5% for Qwen3 Max.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Qwen3 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 35.1 | 43.7 |
| Released | 2024-12-06 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $6 |
| Results tracked | 54 | 33 |
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Category by category
Coding Qwen3 Max leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Qwen3 Max: 43.0 (#93)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1350 | 1456 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Qwen3 Max: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| TheAgentCompany | 11.4% | — |
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Qwen3 Max: 22.6 (#190)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 72.5% |
| LMArena Hard Prompts | 1346 | 1448 |
| DTBench | 63.2% | 82.1% |
| Epoch Capabilities Index | 135.36 | 142.38 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| NYT Connections (extended) | — | 30.1% |
| Chess Puzzles | — | 4% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 5% |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 28.3% |
| LiveBench | 66.9% | — |
Math Too close to call
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Qwen3 Max: 38.7 (#131)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 73.3% |
| LMArena Math | 1352 | 1446 |
| MATH Level 5 | 82.2% | 97.1% |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Qwen3 Max leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Qwen3 Max: 48.1 (#78)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 64.1% | 72.6% |
| LMArena Expert | 1339 | 1455 |
| Humanity's Last Exam | 6.6% | — |
| SimpleQA Verified | — | 48.7% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Qwen3 Max: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Qwen3 Max leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Qwen3 Max: 53.7 (#62)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1342 | 1429 |
| LMArena Chinese | 1373 | 1478 |
| LMArena French | 1391 | 1449 |
| LMArena German | 1353 | 1463 |
| LMArena Japanese | 1294 | 1397 |
| LMArena Korean | 1313 | 1399 |
| LMArena Russian | 1351 | 1428 |
| LMArena Spanish | 1363 | 1462 |
Instruction Following Too close to call
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Qwen3 Max: 74.8 (#87)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1336 | 1419 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context Qwen3 Max leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Qwen3 Max: 41.6 (#134)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | 61.1% | 66.7% |
| LMArena Longer Query | 1344 | 1438 |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Qwen3 Max: 62.4 (#76)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen3 Max |
|---|---|---|
| LMArena Text | 1354 | 1439 |
| LMArena Creative Writing | 1340 | 1402 |
| LMArena Multi-Turn | 1350 | 1446 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Qwen3 Max share?
24 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Qwen3 Max has 33.