# Codellama 34b Instruct vs o3-pro

> o3-pro is the stronger model overall, scoring 42.7 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-o3-pro
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in long context, where o3-pro leads 72.1 to 30.8.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | o3-pro |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.2 | 42.7 |
| Rank | 285 | 94 |
| Context | — | 200K |
| Input $/M | — | $20 |
| Output $/M | — | $80 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.0 (#310)
- o3-pro: 55.1 (#22)

| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Reasoning

- Codellama 34b Instruct: 18.8 (#250)
- o3-pro: 24.1 (#152)

| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1032 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.43 |

## Math

- Codellama 34b Instruct: 28.5 (#227)
- o3-pro: —

| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| LMArena Math | 1056 | — |

## Knowledge

- Codellama 34b Instruct: —
- o3-pro: 29.0 (#234)

| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |

## Multilingual

- Codellama 34b Instruct: 25.9 (#279)
- o3-pro: —

| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |

## Instruction Following

- Codellama 34b Instruct: 52.4 (#286)
- o3-pro: —

| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1028 | — |

## Long Context

- Codellama 34b Instruct: 30.8 (#279)
- o3-pro: 72.1 (#1)

| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1014 | — |

## Writing & Preference

- Codellama 34b Instruct: 28.4 (#292)
- o3-pro: 57.1 (#128)

| Benchmark | Codellama 34b Instruct | o3-pro |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1015 | — |

## FAQ

### Is Codellama 34b Instruct better than o3-pro?

o3-pro is the stronger model overall, scoring 42.7 to 30.2 on the Noometry Index.

### Is Codellama 34b Instruct or o3-pro better for coding?

o3-pro scores higher on coding benchmarks: 55.1 versus 28.0 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and o3-pro share?

0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and o3-pro has 12.