Model comparison
Gemini 2.0 Flash-Lite vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 37.8 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 0 categories and Qwen2.5-Max in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen2.5-Max leads 41.8 to 37.9.
- The biggest single-benchmark swing is LiveBench Language: 34.3% for Gemini 2.0 Flash-Lite and 56.3% for Qwen2.5-Max.
Side by side
| Gemini 2.0 Flash-Lite | Qwen2.5-Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.8 | 40.7 |
| Released | 2025-02-05 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Gemini 2.0 Flash-Lite: 37.9 (#185), Qwen2.5-Max: 41.8 (#117)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LiveBench Coding | 47.1% | 64.4% |
| LMArena Coding | 1322 | 1359 |
Reasoning Qwen2.5-Max leads
Gemini 2.0 Flash-Lite: 22.0 (#210), Qwen2.5-Max: 25.6 (#147)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LiveBench Reasoning | 50.1% | 51.4% |
| LMArena Hard Prompts | 1324 | 1360 |
| LiveBench Data Analysis | 65.5% | 67.9% |
| LiveBench | 54.3% | 62.3% |
| DTBench | 52.5% | — |
| Epoch Capabilities Index | — | 132.53 |
| ForecastBench | 57.1 | — |
Math Qwen2.5-Max leads
Gemini 2.0 Flash-Lite: 34.1 (#196), Qwen2.5-Max: 36.9 (#162)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LiveBench Math | 58.1% | 58.4% |
| LMArena Math | 1309 | 1369 |
| Omni-MATH | 37.4% | — |
Knowledge Too close to call
Gemini 2.0 Flash-Lite: 35.0 (#189), Qwen2.5-Max: 35.3 (#186)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1305 | 1337 |
| MMLU-Pro | 72% | — |
| Confabulations | — | 21.8% |
| GPQA (HELM) | 50% | — |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 31.2 (#109), Qwen2.5-Max: —
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual Qwen2.5-Max leads
Gemini 2.0 Flash-Lite: 46.0 (#161), Qwen2.5-Max: 48.1 (#146)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1323 | 1352 |
| LMArena Chinese | 1339 | 1382 |
| LMArena French | 1347 | 1396 |
| LMArena German | 1306 | 1350 |
| LMArena Japanese | 1301 | 1300 |
| LMArena Korean | 1325 | 1304 |
| LMArena Russian | 1328 | 1353 |
| LMArena Spanish | 1313 | 1377 |
Instruction Following Too close to call
Gemini 2.0 Flash-Lite: 70.4 (#163), Qwen2.5-Max: 71.3 (#152)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | 78.3% | 75.3% |
| LMArena Instruction Following | 1305 | 1335 |
| IFEval | 82.4% | — |
Long Context Qwen2.5-Max leads
Gemini 2.0 Flash-Lite: 40.1 (#160), Qwen2.5-Max: 41.4 (#142)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1320 | 1358 |
Writing & Preference Qwen2.5-Max leads
Gemini 2.0 Flash-Lite: 51.7 (#177), Qwen2.5-Max: 55.4 (#146)
| Benchmark | Gemini 2.0 Flash-Lite | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1330 | 1367 |
| LMArena Creative Writing | 1319 | 1339 |
| LMArena Multi-Turn | 1307 | 1364 |
| LiveBench Language | 34.3% | 56.3% |
| Short-Story Creative Writing | — | 72.9% |
| WildBench | 79% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 37.8 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 37.9 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and Qwen2.5-Max share?
24 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and Qwen2.5-Max has 27.