# Gemma 3n E4b IT vs Mixtral 8x7B

> Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 26.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-mixtral-8x7b
- 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 Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemma 3n E4b IT leads 33.6 to 11.0.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Gemma 3n E4b IT accepts more context: 33K tokens versus 32K.

## Snapshot

| | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 36.7 | 26.8 |
| Rank | 203 | 328 |
| Context | 33K | 32K |
| Input $/M | $0.06 | $0.70 |
| Output $/M | $0.12 | $0.70 |
| Weights | Open | Open |

## Coding

- Gemma 3n E4b IT: 36.4 (#193)
- Mixtral 8x7B: 32.2 (#265)

| Benchmark | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1269 | 1127 |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Reasoning

- Gemma 3n E4b IT: 19.2 (#239)
- Mixtral 8x7B: 17.4 (#283)

| Benchmark | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1115 |
| Kagi LLM Benchmark | 31.5% | — |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.38 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- Gemma 3n E4b IT: 32.5 (#186)
- Mixtral 8x7B: 17.2 (#284)

| Benchmark | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1251 | 1147 |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |

## Knowledge

- Gemma 3n E4b IT: 33.6 (#193)
- Mixtral 8x7B: 11.0 (#296)

| Benchmark | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1245 | 1088 |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multilingual

- Gemma 3n E4b IT: 43.5 (#179)
- Mixtral 8x7B: 29.8 (#261)

| Benchmark | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1285 | 1077 |
| LMArena Chinese | 1310 | 1055 |
| LMArena French | 1330 | 1165 |
| LMArena German | 1312 | 1114 |
| LMArena Japanese | 1274 | 931 |
| LMArena Korean | 1259 | 968 |
| LMArena Russian | 1288 | 1090 |
| LMArena Spanish | 1305 | 1110 |

## Instruction Following

- Gemma 3n E4b IT: 66.3 (#205)
- Mixtral 8x7B: 51.2 (#292)

| Benchmark | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1255 | 1110 |
| IFEval | — | 57.5% |

## Long Context

- Gemma 3n E4b IT: 38.8 (#185)
- Mixtral 8x7B: 33.4 (#255)

| Benchmark | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1277 | 1103 |

## Writing & Preference

- Gemma 3n E4b IT: 50.3 (#181)
- Mixtral 8x7B: 34.4 (#265)

| Benchmark | Gemma 3n E4b IT | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1306 | 1132 |
| LMArena Creative Writing | 1287 | 1109 |
| LMArena Multi-Turn | 1276 | 1115 |
| WildBench | — | 67.3% |

## FAQ

### Is Gemma 3n E4b IT better than Mixtral 8x7B?

Gemma 3n E4b IT is the stronger model overall, scoring 36.7 to 26.8 on the Noometry Index.

### Which is cheaper, Gemma 3n E4b IT or Mixtral 8x7B?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

### Is Gemma 3n E4b IT or Mixtral 8x7B better for coding?

Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 32.2 in the Noometry coding category.

### Which has the bigger context window?

Gemma 3n E4b IT does, with 33K tokens against 32K.

### How many benchmarks do Gemma 3n E4b IT and Mixtral 8x7B share?

17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and Mixtral 8x7B has 38.