# Codellama 34b Instruct vs GPT-5.3 Codex

> GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-gpt-5-3-codex
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 28.5.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 45.8 |
| Rank | 287 | 69 |
| Context | — | 400K |
| Input $/M | — | $1.75 |
| Output $/M | — | $14 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- GPT-5.3 Codex: 48.6 (#56)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1409 |
| WeirdML | — | 79.3% |
| BigCodeBench Instruct | 29% | — |
| LMArena Coding | 1046 | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 1,655 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- GPT-5.3 Codex: 48.0 (#9)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- GPT-5.3 Codex: —

| Benchmark | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| LMArena Hard Prompts | 1032 | — |
| Epoch Capabilities Index | — | 156.77 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- GPT-5.3 Codex: —

| Benchmark | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1056 | — |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- GPT-5.3 Codex: —

| Benchmark | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1011 | — |
| LMArena Chinese | 976 | — |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- GPT-5.3 Codex: —

| Benchmark | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1028 | — |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- GPT-5.3 Codex: —

| Benchmark | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1013 | — |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- GPT-5.3 Codex: —

| Benchmark | Codellama 34b Instruct | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1066 | — |
| LMArena Creative Writing | 1032 | — |
| LMArena Multi-Turn | 1015 | — |

## FAQ

### Is Codellama 34b Instruct better than GPT-5.3 Codex?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 30.8 on the Noometry Index.

### Is Codellama 34b Instruct or GPT-5.3 Codex better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 28.5 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and GPT-5.3 Codex share?

0 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-5.3 Codex has 8.
