Model comparison
Gemma 3n E4b IT vs Qwen2.5 7B Instruct
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 29.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
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Alibaba (Qwen)Summary
- The widest gap is in math, where Gemma 3n E4b IT leads 35.1 to 12.6.
Side by side
| Gemma 3n E4b IT | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 37.3 | 29.0 |
| Released | — | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 18 | 15 |
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Category by category
Coding Too close to call
Gemma 3n E4b IT: 37.0 (#198), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1268 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.9 (#247), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1284 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.51 |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1251 | — |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 34.2 (#198), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1246 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Gemma 3n E4b IT: 43.4 (#183), Qwen2.5 7B Instruct: —
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1285 | — |
| LMArena Chinese | 1309 | — |
| LMArena French | 1330 | — |
| LMArena German | 1311 | — |
| LMArena Japanese | 1272 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Gemma 3n E4b IT leads
Gemma 3n E4b IT: 66.1 (#210), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.7 (#191), Qwen2.5 7B Instruct: —
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Gemma 3n E4b IT | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than Qwen2.5 7B Instruct?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 29.0 on the Noometry Index.
Is Gemma 3n E4b IT or Qwen2.5 7B Instruct better for coding?
They score almost the same on coding (37.0 vs 36.5); test both on your own repository before choosing.
How many benchmarks do Gemma 3n E4b IT and Qwen2.5 7B Instruct share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Qwen2.5 7B Instruct has 15.