Model comparison
Gemma 3n E4b IT vs phi-3-medium 14B
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
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MicrosoftSummary
- The widest gap is in knowledge, where Gemma 3n E4b IT leads 33.6 to 9.1.
Side by side
| Gemma 3n E4b IT | phi-3-medium 14B | |
|---|---|---|
| Provider | Microsoft | |
| Noometry Index | 36.7 | 29.1 |
| Released | 2025-05-20 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 33K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.06 | — |
| Output $ / M tokens | $0.12 | — |
| Results tracked | 18 | 13 |
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Category by category
Coding Too close to call
Gemma 3n E4b IT: 36.4 (#193), phi-3-medium 14B: 36.3 (#198)
| Benchmark | Gemma 3n E4b IT | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1269 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
Gemma 3n E4b IT: 19.2 (#239), phi-3-medium 14B: —
| Benchmark | Gemma 3n E4b IT | phi-3-medium 14B |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | — |
| LMArena Hard Prompts | 1284 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 32.5 (#186), phi-3-medium 14B: 25.2 (#249)
| Benchmark | Gemma 3n E4b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1251 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Gemma 3n E4b IT leads
Gemma 3n E4b IT: 33.6 (#193), phi-3-medium 14B: 9.1 (#301)
| Benchmark | Gemma 3n E4b IT | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1245 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
Gemma 3n E4b IT: 43.5 (#179), phi-3-medium 14B: —
| Benchmark | Gemma 3n E4b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1285 | — |
| LMArena Chinese | 1310 | — |
| LMArena French | 1330 | — |
| LMArena German | 1312 | — |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1288 | — |
| LMArena Spanish | 1305 | — |
Instruction Following Not comparable
Gemma 3n E4b IT: 66.3 (#205), phi-3-medium 14B: —
| Benchmark | Gemma 3n E4b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1255 | — |
Long Context Not comparable
Gemma 3n E4b IT: 38.8 (#185), phi-3-medium 14B: —
| Benchmark | Gemma 3n E4b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1277 | — |
Writing & Preference Not comparable
Gemma 3n E4b IT: 50.3 (#181), phi-3-medium 14B: —
| Benchmark | Gemma 3n E4b IT | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1306 | — |
| LMArena Creative Writing | 1287 | — |
| LMArena Multi-Turn | 1276 | — |
Frequently asked questions
Is Gemma 3n E4b IT better than phi-3-medium 14B?
Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 29.1 on the Noometry Index.
Is Gemma 3n E4b IT or phi-3-medium 14B better for coding?
They score almost the same on coding (36.4 vs 36.3); test both on your own repository before choosing.
How many benchmarks do Gemma 3n E4b IT and phi-3-medium 14B share?
0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and phi-3-medium 14B has 13.