# GPT-6 Sol vs Llama 2-70B

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 24.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-llama-2-70b
- 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 2-70B 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 32.5.
- Llama 2-70B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 49.2 | 24.1 |
| Rank | 46 | 343 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Llama 2-70B: 30.8 (#281)

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1453 | 1079 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Llama 2-70B: —

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| GDP.pdf | 28% | — |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Llama 2-70B: 13.7 (#324)

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1073 |
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |
| DTBench | — | 41.6% |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.59 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |

## Math

- GPT-6 Sol: 35.8 (#135)
- Llama 2-70B: 7.5 (#320)

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| LMArena Math | 1404 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Llama 2-70B: 7.4 (#305)

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1449 | 1039 |
| GPQA Diamond | — | 26.3% |
| Vectara Hallucination Rate | 6.5% | — |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Llama 2-70B: —

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| Furniture Assembly | 58.3% | — |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Llama 2-70B: 27.9 (#269)

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1389 | 1045 |
| LMArena Chinese | 1416 | 994 |
| LMArena Russian | 1407 | 1083 |
| LMArena Spanish | 1377 | 1142 |
| LMArena French | — | 1089 |
| LMArena German | — | 1041 |
| LMArena Japanese | — | 927 |
| LMArena Korean | — | 964 |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Llama 2-70B: 55.1 (#273)

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1071 |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Llama 2-70B: 32.2 (#265)

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1415 | 1062 |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Llama 2-70B: 32.5 (#274)

| Benchmark | GPT-6 Sol | Llama 2-70B |
|---|---|---|
| LMArena Text | 1396 | 1115 |
| LMArena Creative Writing | 1392 | 1075 |
| LMArena Multi-Turn | 1405 | 1088 |
| EQ-Bench Creative Writing | 2125 | — |

## FAQ

### Is GPT-6 Sol better than Llama 2-70B?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 24.1 on the Noometry Index.

### Is GPT-6 Sol or Llama 2-70B better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 30.8 in the Noometry coding category.

### How many benchmarks do GPT-6 Sol and Llama 2-70B share?

13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Llama 2-70B has 35.