Model comparison
Gemini 2.5 Flash-Lite vs Qwen2.5-VL 72B Instruct
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.9 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 2 categories and Qwen2.5-VL 72B Instruct in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Gemini 2.5 Flash-Lite leads 28.0 to 18.6.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
- Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.0 | 29.9 |
| Released | 2025-06-17 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.10 | $2.80 |
| Output $ / M tokens | $0.40 | $8.40 |
| Results tracked | 33 | 6 |
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Category by category
Coding Not comparable
Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| WeirdML | 35.2% | — |
| LMArena Coding | 1373 | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| OSWorld | — | 5% |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 36% |
| LMArena Hard Prompts | 1377 | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |
Math Not comparable
Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Omni-MATH | 48% | — |
| LMArena Math | 1373 | — |
Knowledge Not comparable
Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| LMArena Expert | 1373 | — |
Multimodal Qwen2.5-VL 72B Instruct leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | 1198 | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| VPCT | 30% | — |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Non-English | 1369 | — |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena German | 1389 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Not comparable
Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| IFEval | 81% | — |
| LMArena Instruction Following | 1367 | — |
Long Context Not comparable
Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Fiction.LiveBench | 47.2% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen2.5-VL 72B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1379 | — |
| LMArena Creative Writing | 1367 | — |
| WildBench | 81.8% | — |
| LMArena Multi-Turn | 1366 | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen2.5-VL 72B Instruct?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 29.9 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen2.5-VL 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-VL 72B Instruct lists at $2.80 and $8.40.
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-VL 72B Instruct share?
2 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.