# Llama 2-7B vs o3-pro

> o3-pro is the stronger model overall, scoring 42.9 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-7b-vs-o3-pro
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Llama 2-7B scores higher in 0 categories and o3-pro in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 30.4.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 2-7B | o3-pro |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 29.1 | 42.9 |
| Rank | 317 | 105 |
| Context | — | 200K |
| Input $/M | — | $20 |
| Output $/M | — | $80 |
| Weights | Open | Proprietary |

## Coding

- Llama 2-7B: 29.2 (#307)
- o3-pro: 55.5 (#24)

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1002 | — |

## Reasoning

- Llama 2-7B: 15.7 (#312)
- o3-pro: 23.8 (#171)

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| Epoch Capabilities Index | 99.06 | 147.42 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1009 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |

## Math

- Llama 2-7B: 30.7 (#233)
- o3-pro: —

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |

## Knowledge

- Llama 2-7B: 28.2 (#248)
- o3-pro: 29.5 (#238)

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |

## Multimodal

- Llama 2-7B: —
- o3-pro: —

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| ScienceQA | 43.1% | — |

## Multilingual

- Llama 2-7B: 23.8 (#293)
- o3-pro: —

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |

## Instruction Following

- Llama 2-7B: 50.8 (#298)
- o3-pro: —

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1006 | — |

## Long Context

- Llama 2-7B: 30.4 (#287)
- o3-pro: 72.2 (#1)

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 999 | — |

## Writing & Preference

- Llama 2-7B: 28.0 (#298)
- o3-pro: 57.1 (#133)

| Benchmark | Llama 2-7B | o3-pro |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1029 | — |

## FAQ

### Is Llama 2-7B better than o3-pro?

o3-pro is the stronger model overall, scoring 42.9 to 29.1 on the Noometry Index.

### Is Llama 2-7B or o3-pro better for coding?

o3-pro scores higher on coding benchmarks: 55.5 versus 29.2 in the Noometry coding category.

### How many benchmarks do Llama 2-7B and o3-pro share?

1 benchmark has published results for both models. Llama 2-7B has 29 scored results on Noometry and o3-pro has 12.