# Gemma 3n E4b IT vs GPT-6 Luna

> GPT-6 Luna is the stronger model overall, scoring 53.3 to 37.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-gpt-6-luna
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and GPT-6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 35.1.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 37.3 | 53.3 |
| Rank | 206 | 36 |
| Context | — | 1.05M |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.50 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3n E4b IT: 37.0 (#198)
- GPT-6 Luna: 55.5 (#25)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1268 | 1439 |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1581 |
| SciCode | — | 54.6% |
| ALE-Bench | — | 1,577 |

## Agentic & Tool Use

- Gemma 3n E4b IT: —
- GPT-6 Luna: 33.3 (#54)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| APEX-Agents | — | 44.3% |
| GDP.pdf | — | 23% |

## Reasoning

- Gemma 3n E4b IT: 19.9 (#247)
- GPT-6 Luna: 48.2 (#41)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1411 |
| ARC-AGI-2 | — | 59.3% |
| Kagi LLM Benchmark | 31.5% | — |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | — | 86.7% |
| CritPt | — | 19.4% |
| Chess Puzzles | — | 31% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 90.1% |
| LMCA | — | 44.5% |
| Epoch Capabilities Index | — | 156.28 |

## Math

- Gemma 3n E4b IT: 35.1 (#188)
- GPT-6 Luna: 76.1 (#15)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1251 | 1416 |
| FrontierMath (Tiers 1-3) | — | 78.9% |
| FrontierMath Tier 4 | — | 56.1% |
| OTIS Mock AIME 2024-2025 | — | 98.9% |
| ProofBench | — | 64% |

## Knowledge

- Gemma 3n E4b IT: 34.2 (#198)
- GPT-6 Luna: 57.0 (#41)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1246 | 1444 |
| GPQA Diamond | — | 90.5% |
| SimpleQA Verified | — | 41.4% |

## Multimodal

- Gemma 3n E4b IT: —
- GPT-6 Luna: 42.4 (#30)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Vision | — | 1217 |
| Blueprint-Bench 2 | — | 31.2% |
| Furniture Assembly | — | 44.2% |

## Multilingual

- Gemma 3n E4b IT: 43.4 (#183)
- GPT-6 Luna: 50.5 (#117)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1285 | 1386 |
| LMArena Chinese | 1309 | 1433 |
| LMArena French | 1330 | 1420 |
| LMArena German | 1311 | 1369 |
| LMArena Japanese | 1272 | 1369 |
| LMArena Korean | 1259 | 1360 |
| LMArena Russian | 1288 | 1394 |
| LMArena Spanish | 1305 | 1393 |

## Instruction Following

- Gemma 3n E4b IT: 66.1 (#210)
- GPT-6 Luna: 74.3 (#99)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1255 | 1409 |

## Long Context

- Gemma 3n E4b IT: 38.7 (#191)
- GPT-6 Luna: 43.0 (#111)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1276 | 1409 |

## Writing & Preference

- Gemma 3n E4b IT: 50.1 (#186)
- GPT-6 Luna: 58.3 (#119)

| Benchmark | Gemma 3n E4b IT | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1306 | 1391 |
| LMArena Creative Writing | 1287 | 1363 |
| LMArena Multi-Turn | 1276 | 1396 |

## FAQ

### Is Gemma 3n E4b IT better than GPT-6 Luna?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 37.3 on the Noometry Index.

### Is Gemma 3n E4b IT or GPT-6 Luna better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 37.0 in the Noometry coding category.

### How many benchmarks do Gemma 3n E4b IT and GPT-6 Luna share?

17 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-6 Luna has 42.