Model comparison
Gemma 3 1B vs Qwen2.5 72B Instruct
Qwen2.5 72B Instruct is the stronger model overall, scoring 31.9 to 21.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Gemma 3 1B scores higher in 0 categories and Qwen2.5 72B Instruct in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5 72B Instruct leads 27.0 to 7.0.
- The biggest single-benchmark swing is GPQA Diamond: 19.9% for Gemma 3 1B and 49.1% for Qwen2.5 72B Instruct.
Side by side
| Gemma 3 1B | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 21.1 | 31.9 |
| Released | 2025-03-12 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $5.60 |
| Results tracked | 4 | 43 |
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Category by category
Coding Not comparable
Gemma 3 1B: —, Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| LMArena Coding | — | 1292 |
| BigCodeBench Complete | — | 55.9% |
Agentic & Tool Use Qwen2.5 72B Instruct leads
Gemma 3 1B: 13.7 (#152), Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 7.2% | — |
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Qwen2.5 72B Instruct leads
Gemma 3 1B: 19.2 (#264), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1271 |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| Epoch Capabilities Index | — | 129 |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Qwen2.5 72B Instruct leads
Gemma 3 1B: 10.2 (#316), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 8.1% |
| Omni-MATH | — | 33% |
| LMArena Math | — | 1283 |
| MATH Level 5 | — | 63.2% |
Knowledge Qwen2.5 72B Instruct leads
Gemma 3 1B: 7.0 (#314), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | 19.9% | 49.1% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| LMArena Expert | — | 1245 |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |
Multilingual Not comparable
Gemma 3 1B: —, Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | — | 1252 |
| LMArena Chinese | — | 1272 |
| LMArena French | — | 1280 |
| LMArena German | — | 1234 |
| LMArena Japanese | — | 1180 |
| LMArena Korean | — | 1188 |
| LMArena Russian | — | 1264 |
| LMArena Spanish | — | 1256 |
Instruction Following Not comparable
Gemma 3 1B: —, Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | — | 80.6% |
| LMArena Instruction Following | — | 1254 |
Long Context Not comparable
Gemma 3 1B: —, Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1282 |
Writing & Preference Not comparable
Gemma 3 1B: —, Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Gemma 3 1B | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | — | 1269 |
| LMArena Creative Writing | — | 1221 |
| WildBench | — | 80.2% |
| LMArena Multi-Turn | — | 1272 |
Frequently asked questions
Is Gemma 3 1B better than Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is the stronger model overall, scoring 31.9 to 21.1 on the Noometry Index.
How many benchmarks do Gemma 3 1B and Qwen2.5 72B Instruct share?
2 benchmarks have published results for both models. Gemma 3 1B has 4 scored results on Noometry and Qwen2.5 72B Instruct has 43.