# Codellama 70b Instruct vs Mistral Medium

> Mistral Medium is the stronger model overall, scoring 36.0 to 33.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-70b-instruct-vs-mistral-medium
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 1 category and Mistral Medium in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Mistral Medium leads 52.3 to 24.9.

## Snapshot

| | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 33.3 | 36.0 |
| Rank | 236 | 211 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Open | Open |

## Coding

- Codellama 70b Instruct: 37.0 (#189)
- Mistral Medium: 33.8 (#241)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1434 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 763.98 |
| HumanEval+ | 65.9% | — |

## Agentic & Tool Use

- Codellama 70b Instruct: —
- Mistral Medium: 28.1 (#84)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |

## Reasoning

- Codellama 70b Instruct: 19.2 (#241)
- Mistral Medium: 23.3 (#165)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |

## Math

- Codellama 70b Instruct: —
- Mistral Medium: 27.2 (#238)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1409 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Codellama 70b Instruct: —
- Mistral Medium: 24.9 (#260)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| LMArena Expert | — | 1408 |

## Multimodal

- Codellama 70b Instruct: —
- Mistral Medium: 34.6 (#82)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |

## Multilingual

- Codellama 70b Instruct: 24.9 (#283)
- Mistral Medium: 52.3 (#86)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| LMArena Non-English | 992 | 1408 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1460 |
| LMArena German | — | 1433 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1382 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1433 |

## Instruction Following

- Codellama 70b Instruct: 52.1 (#288)
- Mistral Medium: 73.9 (#111)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1024 | 1398 |

## Long Context

- Codellama 70b Instruct: —
- Mistral Medium: 42.9 (#108)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1406 |

## Writing & Preference

- Codellama 70b Instruct: 33.6 (#272)
- Mistral Medium: 60.2 (#97)

| Benchmark | Codellama 70b Instruct | Mistral Medium |
|---|---|---|
| LMArena Text | 1057 | 1424 |
| LMArena Creative Writing | — | 1391 |
| Short-Story Creative Writing | — | 77.3% |
| LMArena Multi-Turn | — | 1418 |

## FAQ

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

Mistral Medium is the stronger model overall, scoring 36.0 to 33.3 on the Noometry Index.

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

Codellama 70b Instruct scores higher on coding benchmarks: 37.0 versus 33.8 in the Noometry coding category.

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

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