# Codellama 70b Instruct vs GPT-4 Turbo

> Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 30.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-gpt-4-turbo
- Last updated: 2026-10-11
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and GPT-4 Turbo in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4 Turbo leads 40.5 to 24.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 58.2% for GPT-4 Turbo.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 33.7 | 30.5 |
| Rank | 237 | 292 |
| Context | — | 128K |
| Input $/M | — | $10 |
| Output $/M | — | $30 |
| Weights | Open | Proprietary |

## Coding

- Codellama 70b Instruct: 37.6 (#193)
- GPT-4 Turbo: 33.8 (#249)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 48.2% |
| BigCodeBench Complete | 49.6% | 58.2% |
| HumanEval+ | 65.9% | 86.6% |
| WeirdML | — | 18% |
| LMArena Coding | — | 1268 |
| MBPP+ | — | 73.3% |

## Agentic & Tool Use

- Codellama 70b Instruct: —
- GPT-4 Turbo: —

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| METR Time Horizons | — | 36.7% |

## Reasoning

- Codellama 70b Instruct: 20.1 (#242)
- GPT-4 Turbo: 15.3 (#317)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1251 |
| SimpleBench | — | 25.1% |
| Chess Puzzles | — | 6% |
| DTBench | — | 61.6% |
| LMCA | — | 9.8% |
| Epoch Capabilities Index | — | 127.25 |
| ForecastBench | — | 59.4 |

## Math

- Codellama 70b Instruct: —
- GPT-4 Turbo: 9.0 (#322)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.7% |
| LMArena Math | — | 1272 |
| MATH Level 5 | — | 46.7% |

## Knowledge

- Codellama 70b Instruct: —
- GPT-4 Turbo: 24.3 (#268)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| GPQA Diamond | — | 46.6% |
| Confabulations | — | 28.4% |
| LMArena Expert | — | 1223 |
| MMLU | — | 81.3% |

## Multimodal

- Codellama 70b Instruct: —
- GPT-4 Turbo: 30.6 (#110)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| LMArena Vision | — | 1090 |

## Multilingual

- Codellama 70b Instruct: 24.8 (#288)
- GPT-4 Turbo: 40.5 (#216)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| LMArena Non-English | 992 | 1245 |
| LMArena Chinese | — | 1242 |
| LMArena French | — | 1276 |
| LMArena German | — | 1259 |
| LMArena Japanese | — | 1194 |
| LMArena Korean | — | 1187 |
| LMArena Russian | — | 1259 |
| LMArena Spanish | — | 1260 |

## Instruction Following

- Codellama 70b Instruct: 51.9 (#293)
- GPT-4 Turbo: 65.8 (#216)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| LMArena Instruction Following | 1024 | 1249 |

## Long Context

- Codellama 70b Instruct: —
- GPT-4 Turbo: 38.0 (#206)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| LMArena Longer Query | — | 1254 |

## Writing & Preference

- Codellama 70b Instruct: 33.4 (#277)
- GPT-4 Turbo: 47.7 (#206)

| Benchmark | Codellama 70b Instruct | GPT-4 Turbo |
|---|---|---|
| LMArena Text | 1057 | 1272 |
| LMArena Creative Writing | — | 1269 |
| LMArena Multi-Turn | — | 1267 |

## FAQ

### Is Codellama 70b Instruct better than GPT-4 Turbo?

Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 30.5 on the Noometry Index.

### Is Codellama 70b Instruct or GPT-4 Turbo better for coding?

Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 33.8 in the Noometry coding category.

### How many benchmarks do Codellama 70b Instruct and GPT-4 Turbo share?

7 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and GPT-4 Turbo has 36.