Model comparison
Gemma 3n E4b IT vs Llama 13b
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 24.4 on the Noometry Index.
Last verified . 8 shared benchmarks.
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MetaSummary
- They share 8 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 3n E4b IT leads 50.1 to 13.8.
Side by side
| Gemma 3n E4b IT | Llama 13b | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 37.3 | 24.4 |
| Released | — | 2023-02-24 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 18 | 21 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), Llama 13b: 21.4 (#337)
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| LMArena Coding | 1268 | 683 |
Reasoning Gemma 3n E4b IT leads
Gemma 3n E4b IT: 19.9 (#247), Llama 13b: 14.0 (#329)
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1284 | 728 |
| Kagi LLM Benchmark | 31.5% | — |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Gemma 3n E4b IT leads
Gemma 3n E4b IT: 35.1 (#188), Llama 13b: 26.7 (#256)
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| LMArena Math | 1251 | 838 |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Gemma 3n E4b IT: 34.2 (#198), Llama 13b: —
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| LMArena Expert | 1246 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Gemma 3n E4b IT: —, Llama 13b: —
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |
Multilingual Gemma 3n E4b IT leads
Gemma 3n E4b IT: 43.4 (#183), Llama 13b: 16.6 (#297)
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| LMArena Non-English | 1285 | 819 |
| 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), Llama 13b: 36.7 (#305)
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1255 | 781 |
Long Context Not comparable
Gemma 3n E4b IT: 38.7 (#191), Llama 13b: —
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), Llama 13b: 13.8 (#312)
| Benchmark | Gemma 3n E4b IT | Llama 13b |
|---|---|---|
| LMArena Text | 1306 | 834 |
| LMArena Creative Writing | 1287 | 794 |
| LMArena Multi-Turn | 1276 | 753 |
Frequently asked questions
Is Gemma 3n E4b IT better than Llama 13b?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 24.4 on the Noometry Index.
Is Gemma 3n E4b IT or Llama 13b better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 21.4 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and Llama 13b share?
8 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Llama 13b has 21.