Model comparison
Gemini 2.5 Flash-Lite vs Qwen2.5-Coder (1.5B)
Gemini 2.5 Flash-Lite has enough public results to be ranked (#211); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
- Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.0 | — |
| Released | 2025-06-17 | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 33 | 6 |
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Category by category
Coding Not comparable
Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| WeirdML | 35.2% | — |
| LMArena Coding | 1373 | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning Not comparable
Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 133.94 | 113.14 |
| Kagi LLM Benchmark | 40.5% | — |
| LMArena Hard Prompts | 1377 | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Omni-MATH | 48% | — |
| LMArena Math | 1373 | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| LMArena Expert | 1373 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Not comparable
Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| 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-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| IFEval | 81% | — |
| LMArena Instruction Following | 1367 | — |
Long Context Not comparable
Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Fiction.LiveBench | 47.2% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemini 2.5 Flash-Lite | Qwen2.5-Coder (1.5B) |
|---|---|---|
| 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-Coder (1.5B)?
Gemini 2.5 Flash-Lite has enough public results to be ranked (#211); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Gemini 2.5 Flash-Lite and Qwen2.5-Coder (1.5B) share?
1 benchmark has published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.