# Codellama 70b Instruct vs Mistral Large

> Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-mistral-large
- Last updated: 2026-10-12
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and Mistral Large in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 67.9 to 51.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 38.3% for Mistral Large.

## Snapshot

| | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 33.7 | 31.9 |
| Rank | 237 | 263 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Open | Open |

## Coding

- Codellama 70b Instruct: 37.6 (#193)
- Mistral Large: 34.3 (#240)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 30% |
| BigCodeBench Complete | 49.6% | 38.3% |
| HumanEval+ | 65.9% | 62.2% |
| SciCode | — | 36.2% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| ALE-Bench | — | 264.7 |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Codellama 70b Instruct: —
- Mistral Large: 28.6 (#89)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Codellama 70b Instruct: 20.1 (#242)
- Mistral Large: 15.8 (#310)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1257 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- Codellama 70b Instruct: —
- Mistral Large: 18.2 (#291)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Codellama 70b Instruct: —
- Mistral Large: 30.1 (#230)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |

## Multilingual

- Codellama 70b Instruct: 24.8 (#288)
- Mistral Large: 40.0 (#219)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Non-English | 992 | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- Codellama 70b Instruct: 51.9 (#293)
- Mistral Large: 67.9 (#191)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1024 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Codellama 70b Instruct: —
- Mistral Large: 38.3 (#199)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |

## Writing & Preference

- Codellama 70b Instruct: 33.4 (#277)
- Mistral Large: 40.7 (#242)

| Benchmark | Codellama 70b Instruct | Mistral Large |
|---|---|---|
| LMArena Text | 1057 | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Codellama 70b Instruct better than Mistral Large?

Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 31.9 on the Noometry Index.

### Is Codellama 70b Instruct or Mistral Large better for coding?

Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 34.3 in the Noometry coding category.

### How many benchmarks do Codellama 70b Instruct and Mistral Large share?

7 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Mistral Large has 51.