# Codellama 34b Instruct vs Mistral Large

> Mistral Large is the stronger model overall, scoring 31.9 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-mistral-large
- Last updated: 2026-10-11
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Codellama 34b Instruct scores higher in 2 categories and Mistral Large in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 67.9 to 52.2.

## Snapshot

| | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 30.8 | 31.9 |
| Rank | 287 | 263 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Open | Open |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- Mistral Large: 34.3 (#240)

| Benchmark | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 29% | 30% |
| LMArena Coding | 1046 | 1277 |
| BigCodeBench Complete | 37.1% | 38.3% |
| HumanEval+ | 43.9% | 62.2% |
| MBPP+ | 56.3% | 59.5% |
| SciCode | — | 36.2% |
| LiveBench Coding | — | 47.1% |
| ALE-Bench | — | 264.7 |

## Agentic & Tool Use

- Codellama 34b Instruct: —
- Mistral Large: 28.6 (#89)

| Benchmark | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- Mistral Large: 15.8 (#310)

| Benchmark | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1032 | 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 34b Instruct: 31.0 (#230)
- Mistral Large: 18.2 (#291)

| Benchmark | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| LMArena Math | 1056 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Codellama 34b Instruct: —
- Mistral Large: 30.1 (#230)

| Benchmark | Codellama 34b 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 34b Instruct: 25.8 (#284)
- Mistral Large: 40.0 (#219)

| Benchmark | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| LMArena Non-English | 1011 | 1237 |
| LMArena Chinese | 976 | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- Mistral Large: 67.9 (#191)

| Benchmark | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1028 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- Mistral Large: 38.3 (#199)

| Benchmark | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1013 | 1261 |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- Mistral Large: 40.7 (#242)

| Benchmark | Codellama 34b Instruct | Mistral Large |
|---|---|---|
| LMArena Text | 1066 | 1266 |
| LMArena Creative Writing | 1032 | 1243 |
| LMArena Multi-Turn | 1015 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Codellama 34b Instruct better than Mistral Large?

Mistral Large is the stronger model overall, scoring 31.9 to 30.8 on the Noometry Index.

### Is Codellama 34b Instruct or Mistral Large better for coding?

Mistral Large scores higher on coding benchmarks: 34.3 versus 28.5 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and Mistral Large share?

14 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Mistral Large has 51.