Model comparison
Gemma 3 4B vs Qwen2-72B
Qwen2-72B is the stronger model overall, scoring 30.0 to 28.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Gemma 3 4B scores higher in 6 categories and Qwen2-72B in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2-72B leads 30.2 to 16.8.
- The biggest single-benchmark swing is GPQA Diamond: 23.2% for Gemma 3 4B and 40.8% for Qwen2-72B.
Side by side
| Gemma 3 4B | Qwen2-72B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 28.1 | 30.0 |
| Released | 2025-03-12 | 2024-06-07 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.04 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 22 | 26 |
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Category by category
Coding Gemma 3 4B leads
Gemma 3 4B: 35.9 (#215), Qwen2-72B: 29.1 (#310)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| LMArena Coding | 1230 | 1196 |
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Gemma 3 4B leads
Gemma 3 4B: 20.9 (#142), Qwen2-72B: 17.0 (#146)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Qwen2-72B leads
Gemma 3 4B: 13.2 (#335), Qwen2-72B: 23.2 (#181)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1191 |
| Epoch Capabilities Index | 116.02 | 125.28 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
Math Qwen2-72B leads
Gemma 3 4B: 16.8 (#292), Qwen2-72B: 30.2 (#236)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| LMArena Math | 1239 | 1235 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |
| MATH Level 5 | — | 39.1% |
Knowledge Qwen2-72B leads
Gemma 3 4B: 11.8 (#299), Qwen2-72B: 21.2 (#275)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| GPQA Diamond | 23.2% | 40.8% |
| LMArena Expert | 1223 | 1171 |
| Vectara Hallucination Rate | 6.4% | — |
| MMLU | — | 82.4% |
Multilingual Gemma 3 4B leads
Gemma 3 4B: 42.5 (#194), Qwen2-72B: 35.9 (#244)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1273 | 1176 |
| LMArena German | 1281 | 1151 |
| LMArena Russian | 1294 | 1169 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1170 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1083 |
| LMArena Spanish | — | 1169 |
Instruction Following Gemma 3 4B leads
Gemma 3 4B: 65.2 (#225), Qwen2-72B: 61.7 (#241)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1181 |
Long Context Gemma 3 4B leads
Gemma 3 4B: 38.7 (#194), Qwen2-72B: 36.1 (#235)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1273 | 1192 |
Writing & Preference Gemma 3 4B leads
Gemma 3 4B: 42.0 (#239), Qwen2-72B: 40.8 (#241)
| Benchmark | Gemma 3 4B | Qwen2-72B |
|---|---|---|
| LMArena Text | 1291 | 1203 |
| LMArena Creative Writing | 1271 | 1181 |
| LMArena Multi-Turn | 1255 | 1196 |
| EQ-Bench Creative Writing | 1068 | — |
Frequently asked questions
Is Gemma 3 4B better than Qwen2-72B?
Qwen2-72B is the stronger model overall, scoring 30.0 to 28.1 on the Noometry Index.
Is Gemma 3 4B or Qwen2-72B better for coding?
Gemma 3 4B scores higher on coding benchmarks: 35.9 versus 29.1 in the Noometry coding category.
How many benchmarks do Gemma 3 4B and Qwen2-72B share?
14 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Qwen2-72B has 26.