# Codellama 70b Instruct vs GPT-5.3 Chat

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 33.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-gpt-5-3-chat
- Last updated: 2026-10-11
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and GPT-5.3 Chat in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 33.4.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 33.7 | 42.8 |
| Rank | 237 | 109 |
| Context | — | 128K |
| Input $/M | — | $1.75 |
| Output $/M | — | $14 |
| Weights | Open | Proprietary |

## Coding

- Codellama 70b Instruct: 37.6 (#193)
- GPT-5.3 Chat: 41.4 (#124)

| Benchmark | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1408 |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |

## Reasoning

- Codellama 70b Instruct: 20.1 (#242)
- GPT-5.3 Chat: 28.5 (#102)

| Benchmark | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1399 |

## Math

- Codellama 70b Instruct: —
- GPT-5.3 Chat: 38.2 (#142)

| Benchmark | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | — | 1389 |

## Knowledge

- Codellama 70b Instruct: —
- GPT-5.3 Chat: 38.8 (#140)

| Benchmark | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | — | 1397 |

## Multilingual

- Codellama 70b Instruct: 24.8 (#288)
- GPT-5.3 Chat: 50.3 (#124)

| Benchmark | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 992 | 1382 |
| LMArena Chinese | — | 1432 |
| LMArena French | — | 1397 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1371 |

## Instruction Following

- Codellama 70b Instruct: 51.9 (#293)
- GPT-5.3 Chat: 72.8 (#129)

| Benchmark | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1024 | 1378 |

## Long Context

- Codellama 70b Instruct: —
- GPT-5.3 Chat: 42.6 (#120)

| Benchmark | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | — | 1396 |

## Writing & Preference

- Codellama 70b Instruct: 33.4 (#277)
- GPT-5.3 Chat: 63.1 (#68)

| Benchmark | Codellama 70b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1057 | 1389 |
| LMArena Creative Writing | — | 1355 |
| EQ-Bench Creative Writing | — | 1690 |
| LMArena Multi-Turn | — | 1412 |

## FAQ

### Is Codellama 70b Instruct better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 33.7 on the Noometry Index.

### Is Codellama 70b Instruct or GPT-5.3 Chat better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 37.6 in the Noometry coding category.

### How many benchmarks do Codellama 70b Instruct and GPT-5.3 Chat share?

4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and GPT-5.3 Chat has 18.