Model comparison
Gemini 2.5 Flash vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 39.3 on the Noometry Index.
Last verified . 20 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 5 categories and Qwen2.5-Max in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen2.5-Max leads 25.6 to 18.1.
Side by side
| Gemini 2.5 Flash | Qwen2.5-Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 39.3 | 40.7 |
| Released | 2025-04-17 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 54 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Gemini 2.5 Flash: 35.8 (#220), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1424 | 1359 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| LiveBench Coding | — | 64.4% |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Qwen2.5-Max: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Qwen2.5-Max leads
Gemini 2.5 Flash: 18.1 (#286), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1360 |
| Epoch Capabilities Index | 143.03 | 132.53 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| LiveBench Reasoning | — | 51.4% |
| DTBench | 76.5% | — |
| LiveBench Data Analysis | — | 67.9% |
| LMCA | 27.5% | — |
| ForecastBench | 60.6 | — |
| LiveBench | — | 62.3% |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1415 | 1369 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| LiveBench Math | — | 58.4% |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| Confabulations | 16.8% | 21.8% |
| LMArena Expert | 1426 | 1337 |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Qwen2.5-Max: —
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1409 | 1352 |
| LMArena Chinese | 1450 | 1382 |
| LMArena French | 1433 | 1396 |
| LMArena German | 1418 | 1350 |
| LMArena Japanese | 1405 | 1300 |
| LMArena Korean | 1385 | 1304 |
| LMArena Russian | 1415 | 1353 |
| LMArena Spanish | 1421 | 1377 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1405 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1419 | 1358 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Qwen2.5-Max leads
Gemini 2.5 Flash: 53.8 (#157), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Gemini 2.5 Flash | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1417 | 1367 |
| LMArena Creative Writing | 1400 | 1339 |
| Short-Story Creative Writing | 76.5% | 72.9% |
| LMArena Multi-Turn | 1408 | 1364 |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Gemini 2.5 Flash better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 39.3 on the Noometry Index.
Is Gemini 2.5 Flash or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 35.8 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash and Qwen2.5-Max share?
20 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Qwen2.5-Max has 27.