# Codellama 34b Instruct vs GPT-5.5 Pro

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-gpt-5-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 28.5.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.2 | 64.3 |
| Rank | 285 | 7 |
| Context | — | 1.05M |
| Input $/M | — | $30 |
| Output $/M | — | $180 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.0 (#310)
- GPT-5.5 Pro: —

| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Reasoning

- Codellama 34b Instruct: 18.8 (#250)
- GPT-5.5 Pro: 73.6 (#7)

| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30.6% |
| Chess Puzzles | — | 64% |
| LMArena Hard Prompts | 1032 | — |
| DTBench | — | 96% |
| LMCA | — | 53.9% |
| Epoch Capabilities Index | — | 162.45 |

## Math

- Codellama 34b Instruct: 28.5 (#227)
- GPT-5.5 Pro: 83.8 (#8)

| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| LMArena Math | 1056 | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |

## Knowledge

- Codellama 34b Instruct: —
- GPT-5.5 Pro: 64.2 (#17)

| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |

## Multilingual

- Codellama 34b Instruct: 25.9 (#279)
- GPT-5.5 Pro: —

| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |

## Instruction Following

- Codellama 34b Instruct: 52.4 (#286)
- GPT-5.5 Pro: —

| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1028 | — |

## Long Context

- Codellama 34b Instruct: 30.8 (#279)
- GPT-5.5 Pro: —

| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1014 | — |

## Writing & Preference

- Codellama 34b Instruct: 28.4 (#292)
- GPT-5.5 Pro: —

| Benchmark | Codellama 34b Instruct | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |

## FAQ

### Is Codellama 34b Instruct better than GPT-5.5 Pro?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.2 on the Noometry Index.

### How many benchmarks do Codellama 34b Instruct and GPT-5.5 Pro share?

0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-5.5 Pro has 14.