# GPT-6 Luna vs Llama 2-13B

> GPT-6 Luna is the stronger model overall, scoring 53.3 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-luna-vs-llama-2-13b
- Last updated: 2026-10-12
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Llama 2-13B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 31.1.
- The biggest single-benchmark swing is DTBench: 90.1% for GPT-6 Luna and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 53.3 | 29.6 |
| Rank | 36 | 309 |
| Context | 1.05M | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.50 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Luna: 55.5 (#25)
- Llama 2-13B: 30.9 (#291)

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1439 | 1062 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 54.6% | — |
| ALE-Bench | 1,577 | — |

## Agentic & Tool Use

- GPT-6 Luna: 33.3 (#54)
- Llama 2-13B: —

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| APEX-Agents | 44.3% | — |
| GDP.pdf | 23% | — |

## Reasoning

- GPT-6 Luna: 48.2 (#41)
- Llama 2-13B: 12.8 (#337)

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 31% | 0% |
| LMArena Hard Prompts | 1411 | 1051 |
| DTBench | 90.1% | 42.2% |
| Epoch Capabilities Index | 156.28 | 106.17 |
| ARC-AGI-2 | 59.3% | — |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | 86.7% | — |
| CritPt | 19.4% | — |
| Mystery Game Puzzles | 7% | — |
| LMCA | 44.5% | — |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- GPT-6 Luna: 76.1 (#15)
- Llama 2-13B: 31.1 (#229)

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| LMArena Math | 1416 | 1065 |
| FrontierMath (Tiers 1-3) | 78.9% | — |
| FrontierMath Tier 4 | 56.1% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 64% | — |
| GSM8K | — | 36.9% |

## Knowledge

- GPT-6 Luna: 57.0 (#41)
- Llama 2-13B: 28.1 (#249)

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1444 | 1030 |
| GPQA Diamond | 90.5% | — |
| SimpleQA Verified | 41.4% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- GPT-6 Luna: 42.4 (#30)
- Llama 2-13B: —

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1217 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 44.2% | — |
| ScienceQA | — | 55.8% |

## Multilingual

- GPT-6 Luna: 50.5 (#117)
- Llama 2-13B: 26.5 (#279)

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1386 | 1024 |
| LMArena Chinese | 1433 | 1001 |
| LMArena French | 1420 | 1044 |
| LMArena German | 1369 | 1009 |
| LMArena Japanese | 1369 | 894 |
| LMArena Korean | 1360 | 953 |
| LMArena Russian | 1394 | 1055 |
| LMArena Spanish | 1393 | 1087 |

## Instruction Following

- GPT-6 Luna: 74.3 (#99)
- Llama 2-13B: 53.3 (#287)

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1409 | 1045 |

## Long Context

- GPT-6 Luna: 43.0 (#111)
- Llama 2-13B: 32.3 (#269)

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1409 | 1064 |

## Writing & Preference

- GPT-6 Luna: 58.3 (#119)
- Llama 2-13B: 29.8 (#289)

| Benchmark | GPT-6 Luna | Llama 2-13B |
|---|---|---|
| LMArena Text | 1391 | 1084 |
| LMArena Creative Writing | 1363 | 1047 |
| LMArena Multi-Turn | 1396 | 1050 |

## FAQ

### Is GPT-6 Luna better than Llama 2-13B?

GPT-6 Luna is the stronger model overall, scoring 53.3 to 29.6 on the Noometry Index.

### Is GPT-6 Luna or Llama 2-13B better for coding?

GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 30.9 in the Noometry coding category.

### How many benchmarks do GPT-6 Luna and Llama 2-13B share?

20 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Llama 2-13B has 32.