Model comparison
Gemma 3 4B vs Qwen2.5-Coder (1.5B)
Gemma 3 4B has enough public results to be ranked (#326); 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.
Side by side
| Gemma 3 4B | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 28.1 | — |
| Released | 2025-03-12 | 2024-09-18 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 22 | 6 |
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Category by category
Coding Not comparable
Gemma 3 4B: 35.9 (#215), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Coding | 1230 | — |
Agentic & Tool Use Not comparable
Gemma 3 4B: 20.9 (#142), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
Reasoning Not comparable
Gemma 3 4B: 13.2 (#335), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 116.02 | 113.14 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1253 | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Gemma 3 4B: 16.8 (#292), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | — |
| LMArena Math | 1239 | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Gemma 3 4B: 11.8 (#299), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 23.2% | — |
| Vectara Hallucination Rate | 6.4% | — |
| LMArena Expert | 1223 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multilingual Not comparable
Gemma 3 4B: 42.5 (#194), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena German | 1281 | — |
| LMArena Russian | 1294 | — |
Instruction Following Not comparable
Gemma 3 4B: 65.2 (#225), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Instruction Following | 1239 | — |
Long Context Not comparable
Gemma 3 4B: 38.7 (#194), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1273 | — |
Writing & Preference Not comparable
Gemma 3 4B: 42.0 (#239), Qwen2.5-Coder (1.5B): —
| Benchmark | Gemma 3 4B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1291 | — |
| LMArena Creative Writing | 1271 | — |
| EQ-Bench Creative Writing | 1068 | — |
| LMArena Multi-Turn | 1255 | — |
Frequently asked questions
Is Gemma 3 4B better than Qwen2.5-Coder (1.5B)?
Gemma 3 4B has enough public results to be ranked (#326); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Gemma 3 4B and Qwen2.5-Coder (1.5B) share?
1 benchmark has published results for both models. Gemma 3 4B has 22 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.