Model comparison
Gemma 3 4B vs Qwen Turbo
Gemma 3 4B is the stronger model overall, scoring 28.1 to 27.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Gemma 3 4B scores higher in 1 category and Qwen Turbo in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen Turbo leads 22.2 to 11.8.
- The biggest single-benchmark swing is GPQA Diamond: 23.2% for Gemma 3 4B and 41.8% for Qwen Turbo.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.05 / $0.20 for Qwen Turbo.
- Qwen Turbo accepts more context: 1M tokens versus 131K.
- Gemma 3 4B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 4B | Qwen Turbo | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 28.1 | 27.1 |
| Released | 2025-03-12 | 2024-11-01 |
| Weights | Open | Proprietary |
| Context window | 131K | 1M |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.04 | $0.05 |
| Output $ / M tokens | $0.08 | $0.20 |
| Results tracked | 22 | 3 |
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Category by category
Coding Not comparable
Gemma 3 4B: 35.9 (#215), Qwen Turbo: —
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| LMArena Coding | 1230 | — |
Agentic & Tool Use Not comparable
Gemma 3 4B: 20.9 (#142), Qwen Turbo: —
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
Reasoning Not comparable
Gemma 3 4B: 13.2 (#335), Qwen Turbo: —
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1253 | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |
Math Gemma 3 4B leads
Gemma 3 4B: 16.8 (#292), Qwen Turbo: 15.3 (#297)
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 6.1% |
| LMArena Math | 1239 | — |
| MATH Level 5 | — | 56.2% |
Knowledge Qwen Turbo leads
Gemma 3 4B: 11.8 (#299), Qwen Turbo: 22.2 (#272)
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| GPQA Diamond | 23.2% | 41.8% |
| Vectara Hallucination Rate | 6.4% | — |
| LMArena Expert | 1223 | — |
Multilingual Not comparable
Gemma 3 4B: 42.5 (#194), Qwen Turbo: —
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena German | 1281 | — |
| LMArena Russian | 1294 | — |
Instruction Following Not comparable
Gemma 3 4B: 65.2 (#225), Qwen Turbo: —
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| LMArena Instruction Following | 1239 | — |
Long Context Not comparable
Gemma 3 4B: 38.7 (#194), Qwen Turbo: —
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| LMArena Longer Query | 1273 | — |
Writing & Preference Not comparable
Gemma 3 4B: 42.0 (#239), Qwen Turbo: —
| Benchmark | Gemma 3 4B | Qwen Turbo |
|---|---|---|
| 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 Qwen Turbo?
Gemma 3 4B is the stronger model overall, scoring 28.1 to 27.1 on the Noometry Index.
Which is cheaper, Gemma 3 4B or Qwen Turbo?
Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Qwen Turbo lists at $0.05 and $0.20.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 131K.
How many benchmarks do Gemma 3 4B and Qwen Turbo share?
2 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Qwen Turbo has 3.