# GPT-6 Sol vs Llama 3-70B

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-6-sol-vs-llama-3-70b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 17.4.
- Llama 3-70B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 49.2 | 28.5 |
| Rank | 46 | 317 |
| Context | 1.05M | — |
| Input $/M | $2 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-6 Sol: 59.6 (#11)
- Llama 3-70B: 35.3 (#215)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1453 | 1206 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |

## Agentic & Tool Use

- GPT-6 Sol: 33.5 (#49)
- Llama 3-70B: 20.9 (#132)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
| GDP.pdf | 28% | — |

## Reasoning

- GPT-6 Sol: 49.3 (#34)
- Llama 3-70B: 17.4 (#284)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1195 |
| Kagi LLM Benchmark | — | 35.1% |
| NYT Connections (extended) | 90.1% | — |
| EBR-Bench | 53.3% | — |
| DTBench | — | 54.2% |
| Epoch Capabilities Index | — | 122.91 |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |

## Math

- GPT-6 Sol: 35.8 (#135)
- Llama 3-70B: 12.0 (#299)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Math | 1404 | 1218 |
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| MATH Level 5 | — | 22.6% |

## Knowledge

- GPT-6 Sol: 43.0 (#87)
- Llama 3-70B: 20.8 (#272)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Expert | 1449 | 1149 |
| GPQA Diamond | — | 40.6% |
| Vectara Hallucination Rate | 6.5% | — |
| MMLU | — | 79.3% |

## Multimodal

- GPT-6 Sol: 47.6 (#9)
- Llama 3-70B: —

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| Furniture Assembly | 58.3% | — |

## Multilingual

- GPT-6 Sol: 51.0 (#113)
- Llama 3-70B: 33.8 (#246)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1389 | 1142 |
| LMArena Chinese | 1416 | 1114 |
| LMArena Russian | 1407 | 1159 |
| LMArena Spanish | 1377 | 1241 |
| LMArena French | — | 1231 |
| LMArena German | — | 1169 |
| LMArena Japanese | — | 1017 |
| LMArena Korean | — | 1017 |

## Instruction Following

- GPT-6 Sol: 74.4 (#97)
- Llama 3-70B: 62.8 (#233)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1194 |

## Long Context

- GPT-6 Sol: 43.2 (#100)
- Llama 3-70B: 35.6 (#235)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1415 | 1174 |

## Writing & Preference

- GPT-6 Sol: 72.3 (#15)
- Llama 3-70B: 43.0 (#225)

| Benchmark | GPT-6 Sol | Llama 3-70B |
|---|---|---|
| LMArena Text | 1396 | 1221 |
| LMArena Creative Writing | 1392 | 1210 |
| LMArena Multi-Turn | 1405 | 1223 |
| EQ-Bench Creative Writing | 2125 | — |

## FAQ

### Is GPT-6 Sol better than Llama 3-70B?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 28.5 on the Noometry Index.

### Is GPT-6 Sol or Llama 3-70B better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 35.3 in the Noometry coding category.

### How many benchmarks do GPT-6 Sol and Llama 3-70B share?

13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Llama 3-70B has 31.