# Codellama 34b Instruct vs GPT-5.3 Chat

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 30.8 on the Noometry Index.

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

## Summary

- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GPT-5.3 Chat in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 28.2.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 42.8 |
| Rank | 287 | 109 |
| Context | — | 128K |
| Input $/M | — | $1.75 |
| Output $/M | — | $14 |
| Weights | Open | Proprietary |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- GPT-5.3 Chat: 41.4 (#124)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1046 | 1408 |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- GPT-5.3 Chat: 28.5 (#102)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1399 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- GPT-5.3 Chat: 38.2 (#142)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1056 | 1389 |

## Knowledge

- Codellama 34b Instruct: —
- GPT-5.3 Chat: 38.8 (#140)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | — | 1397 |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- GPT-5.3 Chat: 50.3 (#124)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1011 | 1382 |
| LMArena Chinese | 976 | 1432 |
| LMArena French | — | 1397 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1371 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- GPT-5.3 Chat: 72.8 (#129)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1028 | 1378 |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- GPT-5.3 Chat: 42.6 (#120)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1013 | 1396 |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- GPT-5.3 Chat: 63.1 (#68)

| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1066 | 1389 |
| LMArena Creative Writing | 1032 | 1355 |
| LMArena Multi-Turn | 1015 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |

## FAQ

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

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 30.8 on the Noometry Index.

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

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 28.5 in the Noometry coding category.

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

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-5.3 Chat has 18.