# Gemma 3n E4b IT vs Magistral Medium

> Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 34.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-magistral-medium
- 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 6 categories and Magistral Medium in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemma 3n E4b IT leads 19.2 to 8.7.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 16.2% for Magistral Medium.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $2 / $5 for Magistral Medium.
- Magistral Medium accepts more context: 128K tokens versus 33K.

## Snapshot

| | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 36.7 | 34.8 |
| Rank | 203 | 224 |
| Context | 33K | 128K |
| Input $/M | $0.06 | $2 |
| Output $/M | $0.12 | $5 |
| Weights | Open | Open |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- Magistral Medium: 38.6 (#161)

| Benchmark | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| LMArena Coding | 1269 | 1319 |
| SciCode | — | 39.2% |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- Magistral Medium: 8.7 (#342)

| Benchmark | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 16.2% |
| LMArena Hard Prompts | 1284 | 1267 |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- Magistral Medium: 32.4 (#187)

| Benchmark | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| LMArena Math | 1251 | 1249 |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- Magistral Medium: 32.9 (#199)

| Benchmark | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| LMArena Expert | 1245 | 1222 |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- Magistral Medium: 39.8 (#219)

| Benchmark | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1285 | 1232 |
| LMArena Chinese | 1310 | 1225 |
| LMArena French | 1330 | 1268 |
| LMArena German | 1312 | 1248 |
| LMArena Japanese | 1274 | 1176 |
| LMArena Korean | 1259 | 1125 |
| LMArena Russian | 1288 | 1224 |
| LMArena Spanish | 1305 | 1269 |

## Instruction Following

- Gemma 3n E4b IT: 66.3 (#205)
- Magistral Medium: 66.2 (#207)

| Benchmark | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1255 | 1254 |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- Magistral Medium: 39.3 (#178)

| Benchmark | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1277 | 1295 |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- Magistral Medium: 46.5 (#214)

| Benchmark | Gemma 3n E4b IT | Magistral Medium |
|---|---|---|
| LMArena Text | 1306 | 1255 |
| LMArena Creative Writing | 1287 | 1245 |
| LMArena Multi-Turn | 1276 | 1275 |

## FAQ

### Is Gemma 3n E4b IT better than Magistral Medium?

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 34.8 on the Noometry Index.

### Which is cheaper, Gemma 3n E4b IT or Magistral Medium?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Magistral Medium lists at $2 and $5.

### Is Gemma 3n E4b IT or Magistral Medium better for coding?

Magistral Medium scores higher on coding benchmarks: 38.6 versus 36.4 in the Noometry coding category.

### Which has the bigger context window?

Magistral Medium does, with 128K tokens against 33K.

### How many benchmarks do Gemma 3n E4b IT and Magistral Medium share?

18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Magistral Medium has 22.
