# Gemma 3n E4b IT vs Llama 3-8B

> Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 25.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-llama-3-8b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemma 3n E4b IT leads 34.2 to 7.8.

## Snapshot

| | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 37.3 | 25.5 |
| Rank | 206 | 344 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Gemma 3n E4b IT: 37.0 (#198)
- Llama 3-8B: 31.0 (#289)

| Benchmark | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1268 | 1152 |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |

## Reasoning

- Gemma 3n E4b IT: 19.9 (#247)
- Llama 3-8B: 14.3 (#326)

| Benchmark | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1133 |
| Kagi LLM Benchmark | 31.5% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.45 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |

## Math

- Gemma 3n E4b IT: 35.1 (#188)
- Llama 3-8B: 8.8 (#323)

| Benchmark | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| LMArena Math | 1251 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| MATH Level 5 | — | 6.1% |

## Knowledge

- Gemma 3n E4b IT: 34.2 (#198)
- Llama 3-8B: 7.8 (#308)

| Benchmark | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1246 | 1113 |
| GPQA Diamond | — | 26.1% |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |

## Multilingual

- Gemma 3n E4b IT: 43.4 (#183)
- Llama 3-8B: 30.8 (#261)

| Benchmark | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1285 | 1098 |
| LMArena Chinese | 1309 | 1076 |
| LMArena French | 1330 | 1159 |
| LMArena German | 1311 | 1104 |
| LMArena Japanese | 1272 | 967 |
| LMArena Korean | 1259 | 1004 |
| LMArena Russian | 1288 | 1109 |
| LMArena Spanish | 1305 | 1173 |

## Instruction Following

- Gemma 3n E4b IT: 66.1 (#210)
- Llama 3-8B: 58.4 (#260)

| Benchmark | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1127 |

## Long Context

- Gemma 3n E4b IT: 38.7 (#191)
- Llama 3-8B: 34.2 (#251)

| Benchmark | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1276 | 1128 |

## Writing & Preference

- Gemma 3n E4b IT: 50.1 (#186)
- Llama 3-8B: 37.5 (#256)

| Benchmark | Gemma 3n E4b IT | Llama 3-8B |
|---|---|---|
| LMArena Text | 1306 | 1166 |
| LMArena Creative Writing | 1287 | 1150 |
| LMArena Multi-Turn | 1276 | 1152 |

## FAQ

### Is Gemma 3n E4b IT better than Llama 3-8B?

Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 25.5 on the Noometry Index.

### Is Gemma 3n E4b IT or Llama 3-8B better for coding?

Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 31.0 in the Noometry coding category.

### How many benchmarks do Gemma 3n E4b IT and Llama 3-8B share?

17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Llama 3-8B has 34.