# GPT-6 Sol vs Llama 2-7B

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-llama-2-7b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Sol leads 72.3 to 28.1.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 49.2 | 28.6 |
| Rank | 46 | 315 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Llama 2-7B: 28.7 (#302)

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1453 | 1002 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Llama 2-7B: —

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| GDP.pdf | 28% | — |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Llama 2-7B: 15.1 (#309)

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1009 |
| NYT Connections (extended) | 90.1% | — |
| Chess Puzzles | — | 0% |
| EBR-Bench | 53.3% | — |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 98.54 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- GPT-6 Sol: 35.8 (#135)
- Llama 2-7B: 28.2 (#231)

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| LMArena Math | 1404 | 1042 |
| GSM8K | — | 16.7% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Llama 2-7B: 27.7 (#243)

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1449 | 1036 |
| Vectara Hallucination Rate | 6.5% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Llama 2-7B: —

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| Furniture Assembly | 58.3% | — |
| ScienceQA | — | 43.1% |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Llama 2-7B: 23.9 (#288)

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1389 | 973 |
| LMArena Chinese | 1416 | 973 |
| LMArena Russian | 1407 | 995 |
| LMArena Spanish | 1377 | 1007 |
| LMArena French | — | 969 |
| LMArena German | — | 978 |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Llama 2-7B: 51.0 (#293)

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1006 |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Llama 2-7B: 30.4 (#282)

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1415 | 999 |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Llama 2-7B: 28.1 (#293)

| Benchmark | GPT-6 Sol | Llama 2-7B |
|---|---|---|
| LMArena Text | 1396 | 1053 |
| LMArena Creative Writing | 1392 | 1033 |
| LMArena Multi-Turn | 1405 | 1029 |
| EQ-Bench Creative Writing | 2125 | — |

## FAQ

### Is GPT-6 Sol better than Llama 2-7B?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 28.6 on the Noometry Index.

### Is GPT-6 Sol or Llama 2-7B better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 28.7 in the Noometry coding category.

### How many benchmarks do GPT-6 Sol and Llama 2-7B share?

13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Llama 2-7B has 29.