Model comparison
Gemini 2.5 Flash vs Qwen Max
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 34.7 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 7 categories and Qwen Max in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash leads 39.9 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.1% for Gemini 2.5 Flash and 16.1% for Qwen Max.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 33K.
Side by side
| Gemini 2.5 Flash | Qwen Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 39.3 | 34.7 |
| Released | 2025-04-17 | 2024-04-03 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 33K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.30 | $1.60 |
| Output $ / M tokens | $2.50 | $6.40 |
| Results tracked | 54 | 23 |
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Category by category
Coding Gemini 2.5 Flash leads
Gemini 2.5 Flash: 35.8 (#220), Qwen Max: 30.7 (#292)
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| Aider Polyglot | 55.1% | 21.8% |
| LMArena Coding | 1424 | 1288 |
| SWE-bench Verified (bash only) | 28.7% | — |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Qwen Max: —
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Qwen Max leads
Gemini 2.5 Flash: 18.1 (#286), Qwen Max: 25.1 (#151)
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1269 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Gemini 2.5 Flash leads
Gemini 2.5 Flash: 39.9 (#98), Qwen Max: 22.3 (#276)
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 16.1% |
| LMArena Math | 1415 | 1275 |
| FrontierMath (Feb 2025 set) | 4.8% | 1% |
| Omni-MATH | 38.5% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Flash leads
Gemini 2.5 Flash: 36.4 (#168), Qwen Max: 30.3 (#228)
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| LMArena Expert | 1426 | 1248 |
| GPQA Diamond | — | 56.1% |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Qwen Max: —
| Benchmark | Gemini 2.5 Flash | Qwen 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), Qwen Max: 41.8 (#202)
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| LMArena Non-English | 1409 | 1263 |
| LMArena Chinese | 1450 | 1254 |
| LMArena French | 1433 | 1330 |
| LMArena German | 1418 | 1254 |
| LMArena Japanese | 1405 | 1205 |
| LMArena Korean | 1385 | 1142 |
| LMArena Russian | 1415 | 1274 |
| LMArena Spanish | 1421 | 1290 |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Qwen Max: 66.5 (#208)
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1405 | 1262 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Qwen Max: 39.4 (#180)
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| Fiction.LiveBench | 77.8% | 66.7% |
| LMArena Longer Query | 1419 | 1288 |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), Qwen Max: 47.8 (#205)
| Benchmark | Gemini 2.5 Flash | Qwen Max |
|---|---|---|
| LMArena Text | 1417 | 1282 |
| LMArena Creative Writing | 1400 | 1248 |
| LMArena Multi-Turn | 1408 | 1277 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Qwen Max?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 34.7 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or Qwen Max?
Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; Qwen Max lists at $1.60 and $6.40.
Is Gemini 2.5 Flash or Qwen Max better for coding?
Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 33K.
How many benchmarks do Gemini 2.5 Flash and Qwen Max share?
21 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Qwen Max has 23.