# Gemma 7B vs GPT-5.6 Luna

> GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 30.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-7b-vs-gpt-5-6-luna
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Gemma 7B scores higher in 0 categories and GPT-5.6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Luna leads 77.7 to 31.2.
- Gemma 7B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 30.0 | 54.6 |
| Rank | 299 | 30 |
| Context | — | 1.05M |
| Input $/M | — | $0.20 |
| Output $/M | — | $1.20 |
| Weights | Open | Proprietary |

## Coding

- Gemma 7B: 30.5 (#294)
- GPT-5.6 Luna: 54.5 (#28)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Coding | 1048 | 1466 |
| DeepSWE | — | 67.2% |
| FrontierCode | — | 39.8% |
| CursorBench | — | 35.9% |
| LMArena WebDev | — | 1519 |
| SciCode | — | 53.6% |
| WeirdML | — | 60.9% |
| ALE-Bench | — | 1,667 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |

## Agentic & Tool Use

- Gemma 7B: —
- GPT-5.6 Luna: 34.4 (#45)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| APEX-Agents | — | 43% |
| BALROG | — | 45.6% |
| GDP.pdf | — | 22.7% |
| Vending-Bench 2 | — | 4,095 |

## Reasoning

- Gemma 7B: 19.9 (#249)
- GPT-5.6 Luna: 47.6 (#43)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1451 |
| Epoch Capabilities Index | 111.99 | 156.39 |
| ARC-AGI-2 | — | 59.5% |
| SimpleBench | — | 46.8% |
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | — | 69.4% |
| ARC-AGI-1 | — | 88% |
| CritPt | — | 20.6% |
| Chess Puzzles | — | 40% |
| Mystery Game Puzzles | — | 21% |
| DTBench | — | 89.1% |
| LMCA | — | 48.5% |
| Surface Evolver Bench | — | 61.9% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |

## Math

- Gemma 7B: 31.2 (#228)
- GPT-5.6 Luna: 77.7 (#14)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Math | 1066 | 1458 |
| FrontierMath (Tiers 1-3) | — | 82.1% |
| FrontierMath Tier 4 | — | 61% |
| OTIS Mock AIME 2024-2025 | — | 98.3% |
| ProofBench | — | 60% |
| GSM8K | 46.4% | — |

## Knowledge

- Gemma 7B: 27.3 (#252)
- GPT-5.6 Luna: 58.5 (#34)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Expert | 1001 | 1478 |
| GPQA Diamond | — | 91.6% |
| SimpleQA Verified | — | 41% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |

## Multimodal

- Gemma 7B: —
- GPT-5.6 Luna: 42.7 (#28)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Vision | — | 1258 |
| Blueprint-Bench 2 | — | 22.6% |
| Furniture Assembly | — | 42.5% |
| LMArena Document | — | 1457 |

## Multilingual

- Gemma 7B: 25.1 (#287)
- GPT-5.6 Luna: 52.8 (#78)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Non-English | 999 | 1417 |
| LMArena Chinese | 1035 | 1470 |
| LMArena French | 1025 | 1456 |
| LMArena Russian | 993 | 1428 |
| LMArena German | — | 1454 |
| LMArena Japanese | — | 1411 |
| LMArena Korean | — | 1415 |
| LMArena Spanish | — | 1448 |

## Instruction Following

- Gemma 7B: 51.5 (#295)
- GPT-5.6 Luna: 75.6 (#57)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Instruction Following | 1017 | 1437 |

## Long Context

- Gemma 7B: 31.1 (#282)
- GPT-5.6 Luna: 43.9 (#82)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Longer Query | 1022 | 1436 |

## Writing & Preference

- Gemma 7B: 27.1 (#302)
- GPT-5.6 Luna: 68.0 (#29)

| Benchmark | Gemma 7B | GPT-5.6 Luna |
|---|---|---|
| LMArena Text | 1056 | 1431 |
| LMArena Creative Writing | 1024 | 1396 |
| LMArena Multi-Turn | 963 | 1434 |
| EQ-Bench Creative Writing | — | 1829 |
| EQ-Bench 4 | — | 1156 |

## FAQ

### Is Gemma 7B better than GPT-5.6 Luna?

GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 30.0 on the Noometry Index.

### Is Gemma 7B or GPT-5.6 Luna better for coding?

GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 30.5 in the Noometry coding category.

### How many benchmarks do Gemma 7B and GPT-5.6 Luna share?

14 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and GPT-5.6 Luna has 52.