Model comparison
Gemini 2.5 Flash-Lite vs Qwen2.5 72B Instruct
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 31.9 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 7 categories and Qwen2.5 72B Instruct 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 19.3.
- The biggest single-benchmark swing is WeirdML: 35.2% for Gemini 2.5 Flash-Lite and 16% for Qwen2.5 72B Instruct.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.40 / $5.60 for Qwen2.5 72B Instruct.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.0 | 31.9 |
| Released | 2025-06-17 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.10 | $1.40 |
| Output $ / M tokens | $0.40 | $5.60 |
| Results tracked | 33 | 43 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| WeirdML | 35.2% | 16% |
| LMArena Coding | 1373 | 1292 |
| BigCodeBench Instruct | — | 45.8% |
| BigCodeBench Complete | — | 55.9% |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Too close to call
Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1271 |
| DTBench | 62.8% | 62.9% |
| LMCA | 18.1% | 13.4% |
| Epoch Capabilities Index | 133.94 | 129 |
| Kagi LLM Benchmark | 40.5% | — |
| BIG-Bench Hard | — | 79.8% |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| Omni-MATH | 48% | 33% |
| LMArena Math | 1373 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| MATH Level 5 | — | 63.2% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| MMLU-Pro | 53.7% | 63.1% |
| GPQA (HELM) | 30.9% | 42.6% |
| LMArena Expert | 1373 | 1245 |
| GPQA Diamond | — | 49.1% |
| Confabulations | — | 19.1% |
| Vectara Hallucination Rate | 3.3% | — |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen2.5 72B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1369 | 1252 |
| LMArena Chinese | 1404 | 1272 |
| LMArena French | 1388 | 1280 |
| LMArena German | 1389 | 1234 |
| LMArena Japanese | 1359 | 1180 |
| LMArena Korean | 1360 | 1188 |
| LMArena Russian | 1373 | 1264 |
| LMArena Spanish | 1396 | 1256 |
Instruction Following Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | 81% | 80.6% |
| LMArena Instruction Following | 1367 | 1254 |
Long Context Qwen2.5 72B Instruct leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1373 | 1282 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1379 | 1269 |
| LMArena Creative Writing | 1367 | 1221 |
| WildBench | 81.8% | 80.2% |
| LMArena Multi-Turn | 1366 | 1272 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen2.5 72B Instruct?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 31.9 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen2.5 72B Instruct?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen2.5 72B Instruct lists at $1.40 and $5.60.
Is Gemini 2.5 Flash-Lite or Qwen2.5 72B Instruct better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 33.2 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 2.5 Flash-Lite and Qwen2.5 72B Instruct share?
26 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen2.5 72B Instruct has 43.