# Gemma 3n E4b IT vs Mistral Small 3.1

> Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-mistral-small-3-1
- 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 6 categories and Mistral Small 3.1 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 3n E4b IT leads 32.5 to 13.7.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
- Mistral Small 3.1 accepts more context: 128K tokens versus 33K.

## Snapshot

| | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 36.7 | 31.4 |
| Rank | 203 | 263 |
| Context | 33K | 128K |
| Input $/M | $0.06 | $0.35 |
| Output $/M | $0.12 | $0.56 |
| Weights | Open | Open |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- Mistral Small 3.1: 37.7 (#175)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1269 | 1309 |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- Mistral Small 3.1: 18.9 (#249)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1278 |
| Kagi LLM Benchmark | 31.5% | — |
| Chess Puzzles | — | 1% |
| Epoch Capabilities Index | — | 127.48 |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- Mistral Small 3.1: 13.7 (#295)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 1251 | 1261 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| Omni-MATH | — | 24.8% |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- Mistral Small 3.1: 22.6 (#266)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1245 | 1258 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |

## Multimodal

- Gemma 3n E4b IT: —
- Mistral Small 3.1: 32.6 (#93)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- Mistral Small 3.1: 41.4 (#204)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1285 | 1255 |
| LMArena Chinese | 1310 | 1254 |
| LMArena French | 1330 | 1270 |
| LMArena German | 1312 | 1266 |
| LMArena Japanese | 1274 | 1210 |
| LMArena Korean | 1259 | 1206 |
| LMArena Russian | 1288 | 1263 |
| LMArena Spanish | 1305 | 1283 |

## Instruction Following

- Gemma 3n E4b IT: 66.3 (#205)
- Mistral Small 3.1: 63.8 (#225)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1255 | 1264 |
| IFEval | — | 75% |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- Mistral Small 3.1: 39.5 (#172)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1277 | 1300 |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- Mistral Small 3.1: 37.2 (#254)

| Benchmark | Gemma 3n E4b IT | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1306 | 1278 |
| LMArena Creative Writing | 1287 | 1253 |
| LMArena Multi-Turn | 1276 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |

## FAQ

### Is Gemma 3n E4b IT better than Mistral Small 3.1?

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 31.4 on the Noometry Index.

### Which is cheaper, Gemma 3n E4b IT or Mistral Small 3.1?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

### Is Gemma 3n E4b IT or Mistral Small 3.1 better for coding?

Mistral Small 3.1 scores higher on coding benchmarks: 37.7 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

Mistral Small 3.1 does, with 128K tokens against 33K.

### How many benchmarks do Gemma 3n E4b IT and Mistral Small 3.1 share?

17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Mistral Small 3.1 has 28.