Model comparison
Gemini 2.5 Flash-Lite vs Qwen2.5 32B Instruct
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 29.7 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Gemini 2.5 Flash-Lite scores higher in 3 categories and Qwen2.5 32B Instruct in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.5 Flash-Lite leads 35.5 to 15.3.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 36.4 | 29.7 |
| Released | 2025-06-17 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.10 | $0.70 |
| Output $ / M tokens | $0.40 | $2.80 |
| Results tracked | 33 | 7 |
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Category by category
Coding Too close to call
Gemini 2.5 Flash-Lite: 38.0 (#167), Qwen2.5 32B Instruct: 38.1 (#165)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| WeirdML | 35.2% | — |
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1373 | — |
| BigCodeBench Complete | — | 52.3% |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 27.8 (#89), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 21.5 (#196), Qwen2.5 32B Instruct: 18.5 (#262)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| Epoch Capabilities Index | 133.93 | 128.52 |
| Kagi LLM Benchmark | 40.5% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1377 | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
Math Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 35.5 (#144), Qwen2.5 32B Instruct: 15.3 (#289)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| Omni-MATH | 48% | — |
| LMArena Math | 1373 | — |
| MATH Level 5 | — | 56.1% |
Knowledge Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 32.1 (#206), Qwen2.5 32B Instruct: 24.9 (#259)
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| LMArena Expert | 1373 | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 28.6 (#109), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Not comparable
Gemini 2.5 Flash-Lite: 49.5 (#129), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1369 | — |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena German | 1390 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1358 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Not comparable
Gemini 2.5 Flash-Lite: 70.2 (#163), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| IFEval | 81% | — |
| LMArena Instruction Following | 1366 | — |
Long Context Not comparable
Gemini 2.5 Flash-Lite: 33.3 (#257), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| Fiction.LiveBench | 47.2% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash-Lite: 57.0 (#130), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1379 | — |
| LMArena Creative Writing | 1366 | — |
| WildBench | 81.8% | — |
| LMArena Multi-Turn | 1367 | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Qwen2.5 32B Instruct?
Gemini 2.5 Flash-Lite is the stronger model overall, scoring 36.4 to 29.7 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or Qwen2.5 32B 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 32B Instruct lists at $0.70 and $2.80.
Is Gemini 2.5 Flash-Lite or Qwen2.5 32B Instruct better for coding?
They score almost the same on coding (38.0 vs 38.1); test both on your own repository before choosing.
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 32B Instruct share?
1 benchmark has published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen2.5 32B Instruct has 7.