# GPT-6 Luna vs Llama 13b

> GPT-6 Luna is the stronger model overall, scoring 45.1 to 23.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-luna-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. GPT-6 Luna scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Luna leads 58.4 to 13.9.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Luna | Llama 13b |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.1 | 23.9 |
| Rank | 65 | 344 |
| Context | 1.05M | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.50 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Luna: 54.7 (#24)
- Llama 13b: 20.9 (#332)

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| LMArena Coding | 1448 | 683 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |

## Reasoning

- GPT-6 Luna: 31.7 (#68)
- Llama 13b: 13.4 (#327)

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1415 | 728 |
| NYT Connections (extended) | 68.7% | — |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.09 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- GPT-6 Luna: 35.6 (#140)
- Llama 13b: 24.4 (#259)

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| LMArena Math | 1396 | 838 |
| GSM8K | — | 20.6% |

## Knowledge

- GPT-6 Luna: 40.1 (#110)
- Llama 13b: —

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| LMArena Expert | 1458 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- GPT-6 Luna: 42.0 (#27)
- Llama 13b: —

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| Furniture Assembly | 44.2% | — |
| ScienceQA | — | 43.3% |

## Multilingual

- GPT-6 Luna: 51.0 (#111)
- Llama 13b: 16.8 (#292)

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| LMArena Non-English | 1390 | 819 |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1416 | — |

## Instruction Following

- GPT-6 Luna: 74.7 (#85)
- Llama 13b: 36.9 (#300)

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1414 | 781 |

## Long Context

- GPT-6 Luna: 43.3 (#95)
- Llama 13b: —

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1417 | — |

## Writing & Preference

- GPT-6 Luna: 58.4 (#115)
- Llama 13b: 13.9 (#307)

| Benchmark | GPT-6 Luna | Llama 13b |
|---|---|---|
| LMArena Text | 1392 | 834 |
| LMArena Creative Writing | 1357 | 794 |
| LMArena Multi-Turn | 1400 | 753 |

## FAQ

### Is GPT-6 Luna better than Llama 13b?

GPT-6 Luna is the stronger model overall, scoring 45.1 to 23.9 on the Noometry Index.

### Is GPT-6 Luna or Llama 13b better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 20.9 in the Noometry coding category.

### How many benchmarks do GPT-6 Luna and Llama 13b share?

8 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Llama 13b has 21.