# Gemma 3n E4b IT vs Llama 4 Scout

> Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 27.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-llama-4-scout
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 8 categories and Llama 4 Scout in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Gemma 3n E4b IT leads 36.4 to 19.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 36.9% for Llama 4 Scout.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.10 / $0.30 for Llama 4 Scout.
- Llama 4 Scout accepts more context: 128K tokens versus 33K.

## Snapshot

| | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| Provider | Google | Meta |
| Noometry Index | 36.7 | 27.4 |
| Rank | 203 | 323 |
| Context | 33K | 128K |
| Input $/M | $0.06 | $0.10 |
| Output $/M | $0.12 | $0.30 |
| Weights | Open | Open |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- Llama 4 Scout: 19.9 (#334)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Coding | 1269 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| BigCodeBench Complete | — | 43.1% |

## Agentic & Tool Use

- Gemma 3n E4b IT: —
- Llama 4 Scout: 24.4 (#109)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- Llama 4 Scout: 9.2 (#339)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 36.9% |
| LMArena Hard Prompts | 1284 | 1266 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| DTBench | — | 57.9% |
| LMCA | — | 12% |
| Epoch Capabilities Index | — | 129.64 |
| ForecastBench | — | 57.5 |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- Llama 4 Scout: 18.4 (#280)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Math | 1251 | 1286 |
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| Omni-MATH | — | 37.3% |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- Llama 4 Scout: 31.8 (#208)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Expert | 1245 | 1236 |
| GPQA Diamond | — | 51.8% |
| MMLU-Pro | — | 74.2% |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |

## Multimodal

- Gemma 3n E4b IT: —
- Llama 4 Scout: 31.6 (#98)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| SpatialViz-Bench | — | 34.2% |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- Llama 4 Scout: 41.3 (#207)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1285 | 1253 |
| LMArena Chinese | 1310 | 1256 |
| LMArena French | 1330 | 1283 |
| LMArena German | 1312 | 1274 |
| LMArena Japanese | 1274 | 1209 |
| LMArena Korean | 1259 | 1207 |
| LMArena Russian | 1288 | 1263 |
| LMArena Spanish | 1305 | 1277 |

## Instruction Following

- Gemma 3n E4b IT: 66.3 (#205)
- Llama 4 Scout: 66.0 (#212)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1255 | 1248 |
| IFEval | — | 81.8% |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- Llama 4 Scout: 27.5 (#289)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1277 | 1265 |
| Fiction.LiveBench | — | 36% |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- Llama 4 Scout: 37.1 (#256)

| Benchmark | Gemma 3n E4b IT | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1306 | 1279 |
| LMArena Creative Writing | 1287 | 1249 |
| LMArena Multi-Turn | 1276 | 1281 |
| EQ-Bench Creative Writing | — | 783 |
| WildBench | — | 78% |

## FAQ

### Is Gemma 3n E4b IT better than Llama 4 Scout?

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 27.4 on the Noometry Index.

### Which is cheaper, Gemma 3n E4b IT or Llama 4 Scout?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Llama 4 Scout lists at $0.10 and $0.30.

### Is Gemma 3n E4b IT or Llama 4 Scout better for coding?

Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 19.9 in the Noometry coding category.

### Which has the bigger context window?

Llama 4 Scout does, with 128K tokens against 33K.

### How many benchmarks do Gemma 3n E4b IT and Llama 4 Scout share?

18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Llama 4 Scout has 43.