Model comparison
Gemma 3 4B vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 39.2 to 28.1 on the Noometry Index. Gemma 3 4B costs 24× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and Qwen3 32B in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 32B leads 40.0 to 11.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 7.5% for Gemma 3 4B and 66.9% for Qwen3 32B.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
Side by side
| Gemma 3 4B | Qwen3 32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 28.1 | 39.2 |
| Released | 2025-03-12 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.04 | $0.70 |
| Output $ / M tokens | $0.08 | $2.80 |
| Results tracked | 22 | 26 |
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Category by category
Coding Qwen3 32B leads
Gemma 3 4B: 35.9 (#215), Qwen3 32B: 37.7 (#190)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1230 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
Agentic & Tool Use Qwen3 32B leads
Gemma 3 4B: 20.9 (#142), Qwen3 32B: 32.6 (#62)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | 48.7% |
Reasoning Qwen3 32B leads
Gemma 3 4B: 13.2 (#335), Qwen3 32B: 20.2 (#241)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 25.2% | 54.9% |
| Chess Puzzles | 0% | 5% |
| LMArena Hard Prompts | 1253 | 1334 |
| DTBench | 50.9% | 67.5% |
| LMCA | 2.8% | 17.3% |
| Epoch Capabilities Index | 116.02 | 138.51 |
| CritPt | — | 0.3% |
Math Qwen3 32B leads
Gemma 3 4B: 16.8 (#292), Qwen3 32B: 39.7 (#99)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 66.9% |
| LMArena Math | 1239 | 1399 |
Knowledge Qwen3 32B leads
Gemma 3 4B: 11.8 (#299), Qwen3 32B: 40.0 (#125)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 23.2% | 65.7% |
| Vectara Hallucination Rate | 6.4% | 5.9% |
| LMArena Expert | 1223 | 1362 |
Multilingual Qwen3 32B leads
Gemma 3 4B: 42.5 (#194), Qwen3 32B: 45.6 (#167)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1273 | 1317 |
| LMArena German | 1281 | 1341 |
| LMArena Russian | 1294 | 1311 |
| LMArena Chinese | — | 1357 |
Instruction Following Qwen3 32B leads
Gemma 3 4B: 65.2 (#225), Qwen3 32B: 68.9 (#179)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1305 |
Long Context Qwen3 32B leads
Gemma 3 4B: 38.7 (#194), Qwen3 32B: 43.8 (#87)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1273 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Qwen3 32B leads
Gemma 3 4B: 42.0 (#239), Qwen3 32B: 52.9 (#163)
| Benchmark | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| LMArena Text | 1291 | 1340 |
| LMArena Creative Writing | 1271 | 1297 |
| LMArena Multi-Turn | 1255 | 1331 |
| EQ-Bench Creative Writing | 1068 | — |
Frequently asked questions
Is Gemma 3 4B better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 39.2 to 28.1 on the Noometry Index. Gemma 3 4B costs 24× less per token, which makes it the better buy when Qwen3 32B's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 4B or Qwen3 32B?
Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.
Is Gemma 3 4B or Qwen3 32B better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.7 versus 35.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Gemma 3 4B and Qwen3 32B share?
21 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Qwen3 32B has 26.