Model comparison
Gemma 3 1B vs Qwen2.5-Coder-32B
Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 21.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Google
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen2.5-Coder-32B leads 33.4 to 7.0.
Side by side
| Gemma 3 1B | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 21.1 | 33.4 |
| Released | 2025-03-12 | 2024-09-18 |
| Weights | Open | Open |
| Context window | — | 33K |
| Max output | — | 29K |
| Input $ / M tokens | — | $0.66 |
| Output $ / M tokens | — | $1 |
| Results tracked | 4 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Gemma 3 1B: —, Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| LMArena Coding | — | 1276 |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Agentic & Tool Use Not comparable
Gemma 3 1B: 13.7 (#152), Qwen2.5-Coder-32B: —
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 7.2% | — |
Reasoning Qwen2.5-Coder-32B leads
Gemma 3 1B: 19.2 (#264), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 42.1% |
| LMArena Hard Prompts | — | 1251 |
| LiveBench Data Analysis | — | 49.9% |
| Epoch Capabilities Index | — | 119.49 |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math Qwen2.5-Coder-32B leads
Gemma 3 1B: 10.2 (#316), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| LiveBench Math | — | 46.6% |
| LMArena Math | — | 1251 |
| GSM8K | — | 93% |
Knowledge Qwen2.5-Coder-32B leads
Gemma 3 1B: 7.0 (#314), Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| GPQA Diamond | 19.9% | — |
| LMArena Expert | — | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multilingual Not comparable
Gemma 3 1B: —, Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | — | 1205 |
| LMArena Chinese | — | 1222 |
| LMArena Russian | — | 1228 |
Instruction Following Not comparable
Gemma 3 1B: —, Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | — | 58.7% |
| LMArena Instruction Following | — | 1223 |
Long Context Not comparable
Gemma 3 1B: —, Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | — | 1251 |
Writing & Preference Not comparable
Gemma 3 1B: —, Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | Gemma 3 1B | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | — | 1230 |
| LMArena Creative Writing | — | 1174 |
| LMArena Multi-Turn | — | 1222 |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is Gemma 3 1B better than Qwen2.5-Coder-32B?
Qwen2.5-Coder-32B is the stronger model overall, scoring 33.4 to 21.1 on the Noometry Index.
How many benchmarks do Gemma 3 1B and Qwen2.5-Coder-32B share?
0 benchmarks have published results for both models. Gemma 3 1B has 4 scored results on Noometry and Qwen2.5-Coder-32B has 31.