Model comparison
Gemini 2.5 Flash-Lite vs Qwen Max
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 34.7 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 6 categories and Qwen Max in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 38.0 to 22.3.
- The biggest single-benchmark swing is Fiction.LiveBench: 47.2% for Gemini 2.5 Flash-Lite and 66.7% for Qwen Max.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 33K.
Side by side
| Gemini 2.5 Flash-Lite | Qwen Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.0 | 34.7 |
| Released | 2025-06-17 | 2024-04-03 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 33K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.10 | $1.60 |
| Output $ / M tokens | $0.40 | $6.40 |
| Results tracked | 33 | 23 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen Max: 30.7 (#292)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| LMArena Coding | 1373 | 1288 |
| Aider Polyglot | — | 21.8% |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen Max: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Qwen Max leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen Max: 25.1 (#151)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1269 |
| Kagi LLM Benchmark | 40.5% | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen Max: 22.3 (#276)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| LMArena Math | 1373 | 1275 |
| OTIS Mock AIME 2024-2025 | — | 16.1% |
| Omni-MATH | 48% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen Max: 30.3 (#228)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| LMArena Expert | 1373 | 1248 |
| GPQA Diamond | — | 56.1% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen Max: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen Max: 41.8 (#202)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| LMArena Non-English | 1369 | 1263 |
| LMArena Chinese | 1404 | 1254 |
| LMArena French | 1388 | 1330 |
| LMArena German | 1389 | 1254 |
| LMArena Japanese | 1359 | 1205 |
| LMArena Korean | 1360 | 1142 |
| LMArena Russian | 1373 | 1274 |
| LMArena Spanish | 1396 | 1290 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen Max: 66.5 (#208)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1367 | 1262 |
| IFEval | 81% | — |
Long Context Qwen Max leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen Max: 39.4 (#180)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| Fiction.LiveBench | 47.2% | 66.7% |
| LMArena Longer Query | 1373 | 1288 |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen Max: 47.8 (#205)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen Max |
|---|---|---|
| LMArena Text | 1379 | 1282 |
| LMArena Creative Writing | 1367 | 1248 |
| LMArena Multi-Turn | 1366 | 1277 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen Max?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 34.7 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen Max?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen Max lists at $1.60 and $6.40.
Is Gemini 2.5 Flash-Lite or Qwen Max better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 33K.
How many benchmarks do Gemini 2.5 Flash-Lite and Qwen Max share?
18 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen Max has 23.