# Gemma 3n E4b IT vs Llama 3.2 3B

> Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 28.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-llama-3-2-3b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 7 categories and Llama 3.2 3B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemma 3n E4b IT leads 50.3 to 24.9.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.05 / $0.33 for Llama 3.2 3B.
- Llama 3.2 3B accepts more context: 131K tokens versus 33K.

## Snapshot

| | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 36.7 | 28.4 |
| Rank | 203 | 318 |
| Context | 33K | 131K |
| Input $/M | $0.06 | $0.05 |
| Output $/M | $0.12 | $0.33 |
| Weights | Open | Open |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- Llama 3.2 3B: 27.1 (#314)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Coding | 1269 | 1098 |
| BigCodeBench Instruct | — | 23.4% |
| BigCodeBench Complete | — | 28.3% |

## Agentic & Tool Use

- Gemma 3n E4b IT: —
- Llama 3.2 3B: 19.9 (#135)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- Llama 3.2 3B: 20.1 (#225)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1095 |
| Kagi LLM Benchmark | 31.5% | — |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- Llama 3.2 3B: 29.9 (#213)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1251 | 1126 |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- Llama 3.2 3B: 29.1 (#232)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1245 | 1090 |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- Llama 3.2 3B: 26.4 (#276)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1285 | 1019 |
| LMArena Chinese | 1310 | 1017 |
| LMArena German | 1312 | 1056 |
| LMArena Russian | 1288 | 949 |
| LMArena French | 1330 | — |
| LMArena Japanese | 1274 | — |
| LMArena Korean | 1259 | — |
| LMArena Spanish | 1305 | — |

## Instruction Following

- Gemma 3n E4b IT: 66.3 (#205)
- Llama 3.2 3B: 56.3 (#270)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1089 |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- Llama 3.2 3B: 33.4 (#256)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1277 | 1101 |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- Llama 3.2 3B: 24.9 (#302)

| Benchmark | Gemma 3n E4b IT | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1306 | 1110 |
| LMArena Creative Writing | 1287 | 1094 |
| LMArena Multi-Turn | 1276 | 1105 |
| EQ-Bench Creative Writing | — | 595 |

## FAQ

### Is Gemma 3n E4b IT better than Llama 3.2 3B?

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 28.4 on the Noometry Index.

### Which is cheaper, Gemma 3n E4b IT or Llama 3.2 3B?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Llama 3.2 3B lists at $0.05 and $0.33.

### Is Gemma 3n E4b IT or Llama 3.2 3B better for coding?

Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 27.1 in the Noometry coding category.

### Which has the bigger context window?

Llama 3.2 3B does, with 131K tokens against 33K.

### How many benchmarks do Gemma 3n E4b IT and Llama 3.2 3B share?

13 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Llama 3.2 3B has 18.