# Codellama 70b Instruct vs Llama-3.3-70B-Instruct

> Codellama 70b Instruct is the stronger model overall, scoring 33.3 to 30.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and Llama-3.3-70B-Instruct in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama-3.3-70B-Instruct leads 71.3 to 52.1.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 57.5% for Llama-3.3-70B-Instruct.

## Snapshot

| | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 33.3 | 30.3 |
| Rank | 236 | 283 |
| Context | — | 128K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.32 |
| Weights | Open | Open |

## Coding

- Codellama 70b Instruct: 37.0 (#189)
- Llama-3.3-70B-Instruct: 30.6 (#284)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 46.9% |
| BigCodeBench Complete | 49.6% | 57.5% |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| LiveBench Coding | — | 36.6% |
| LMArena Coding | — | 1268 |
| HumanEval+ | 65.9% | — |

## Agentic & Tool Use

- Codellama 70b Instruct: —
- Llama-3.3-70B-Instruct: 25.6 (#100)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |

## Reasoning

- Codellama 70b Instruct: 19.2 (#241)
- Llama-3.3-70B-Instruct: 13.7 (#325)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1257 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| Epoch Capabilities Index | — | 127.32 |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |

## Math

- Codellama 70b Instruct: —
- Llama-3.3-70B-Instruct: 14.3 (#292)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| LMArena Math | — | 1268 |
| MATH Level 5 | — | 41.6% |

## Knowledge

- Codellama 70b Instruct: —
- Llama-3.3-70B-Instruct: 30.5 (#220)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| LMArena Expert | — | 1225 |
| MMLU | — | 86.3% |

## Multilingual

- Codellama 70b Instruct: 24.9 (#283)
- Llama-3.3-70B-Instruct: 40.1 (#215)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 992 | 1236 |
| LMArena Chinese | — | 1217 |
| LMArena French | — | 1280 |
| LMArena German | — | 1251 |
| LMArena Japanese | — | 1149 |
| LMArena Korean | — | 1142 |
| LMArena Russian | — | 1252 |
| LMArena Spanish | — | 1269 |

## Instruction Following

- Codellama 70b Instruct: 52.1 (#288)
- Llama-3.3-70B-Instruct: 71.3 (#152)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1024 | 1242 |
| LiveBench Instruction Following | — | 82.7% |

## Long Context

- Codellama 70b Instruct: —
- Llama-3.3-70B-Instruct: 26.4 (#290)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| Fiction.LiveBench | — | 33.3% |
| LMArena Longer Query | — | 1256 |

## Writing & Preference

- Codellama 70b Instruct: 33.6 (#272)
- Llama-3.3-70B-Instruct: 47.8 (#203)

| Benchmark | Codellama 70b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1057 | 1274 |
| LMArena Creative Writing | — | 1250 |
| LMArena Multi-Turn | — | 1279 |
| LiveBench Language | — | 39.2% |

## FAQ

### Is Codellama 70b Instruct better than Llama-3.3-70B-Instruct?

Codellama 70b Instruct is the stronger model overall, scoring 33.3 to 30.3 on the Noometry Index.

### Is Codellama 70b Instruct or Llama-3.3-70B-Instruct better for coding?

Codellama 70b Instruct scores higher on coding benchmarks: 37.0 versus 30.6 in the Noometry coding category.

### How many benchmarks do Codellama 70b Instruct and Llama-3.3-70B-Instruct share?

6 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Llama-3.3-70B-Instruct has 43.