# Gemma 3n E4b IT vs GPT-3.5-turbo

> Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 23.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-gpt-3-5-turbo
- 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 GPT-3.5-turbo in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 3n E4b IT leads 35.1 to 6.3.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 37.3 | 23.2 |
| Rank | 206 | 350 |
| Context | — | 16K |
| Input $/M | — | $0.50 |
| Output $/M | — | $1.50 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3n E4b IT: 37.0 (#198)
- GPT-3.5-turbo: 23.9 (#331)

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| LMArena Coding | 1268 | 1136 |
| WeirdML | — | 3.5% |
| BigCodeBench Instruct | — | 39.1% |
| BigCodeBench Complete | — | 50.6% |
| HumanEval+ | — | 70.7% |
| MBPP+ | — | 69.7% |

## Agentic & Tool Use

- Gemma 3n E4b IT: —
- GPT-3.5-turbo: —

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| METR Time Horizons | — | 21.5% |

## Reasoning

- Gemma 3n E4b IT: 19.9 (#247)
- GPT-3.5-turbo: 13.8 (#332)

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1108 |
| Kagi LLM Benchmark | 31.5% | — |
| Chess Puzzles | — | 0% |
| Mystery Game Puzzles | — | 3% |
| DTBench | — | 48.5% |
| LMCA | — | 9.7% |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 61.6% |
| CommonsenseQA 2.0 | — | 57% |
| Epoch Capabilities Index | — | 118.55 |
| ForecastBench | — | 50.4 |
| WinoGrande | — | 81.6% |

## Math

- Gemma 3n E4b IT: 35.1 (#188)
- GPT-3.5-turbo: 6.3 (#327)

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| LMArena Math | 1251 | 1142 |
| FrontierMath (Tiers 1-3) | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 2.2% |
| MATH Level 5 | — | 15.9% |
| GSM8K | — | 57.8% |

## Knowledge

- Gemma 3n E4b IT: 34.2 (#198)
- GPT-3.5-turbo: 10.0 (#303)

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| LMArena Expert | 1246 | 1070 |
| GPQA Diamond | — | 28% |
| ARC (AI2) Challenge | — | 87.4% |
| BoolQ | — | 87% |
| MMLU | — | 71.4% |
| OpenBookQA | — | 86% |
| TriviaQA | — | 85.8% |

## Multilingual

- Gemma 3n E4b IT: 43.4 (#183)
- GPT-3.5-turbo: 31.5 (#258)

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| LMArena Non-English | 1285 | 1108 |
| LMArena Chinese | 1309 | 1075 |
| LMArena French | 1330 | 1118 |
| LMArena German | 1311 | 1090 |
| LMArena Japanese | 1272 | 1043 |
| LMArena Korean | 1259 | 1019 |
| LMArena Russian | 1288 | 1123 |
| LMArena Spanish | 1305 | 1121 |

## Instruction Following

- Gemma 3n E4b IT: 66.1 (#210)
- GPT-3.5-turbo: 57.9 (#262)

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| LMArena Instruction Following | 1255 | 1119 |

## Long Context

- Gemma 3n E4b IT: 38.7 (#191)
- GPT-3.5-turbo: 34.0 (#254)

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| LMArena Longer Query | 1276 | 1121 |

## Writing & Preference

- Gemma 3n E4b IT: 50.1 (#186)
- GPT-3.5-turbo: 25.3 (#305)

| Benchmark | Gemma 3n E4b IT | GPT-3.5-turbo |
|---|---|---|
| LMArena Text | 1306 | 1125 |
| LMArena Creative Writing | 1287 | 1092 |
| LMArena Multi-Turn | 1276 | 1117 |
| EQ-Bench Creative Writing | — | 451 |

## FAQ

### Is Gemma 3n E4b IT better than GPT-3.5-turbo?

Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 23.2 on the Noometry Index.

### Is Gemma 3n E4b IT or GPT-3.5-turbo better for coding?

Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 23.9 in the Noometry coding category.

### How many benchmarks do Gemma 3n E4b IT and GPT-3.5-turbo share?

17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-3.5-turbo has 44.