# Llama 3-70B vs Mistral Medium 3.5

> Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-70b-vs-mistral-medium-3-5
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Llama 3-70B scores higher in 1 category and Mistral Medium 3.5 in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Medium 3.5 leads 36.4 to 12.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 35.1% for Llama 3-70B and 41.4% for Mistral Medium 3.5.

## Snapshot

| | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 28.5 | 39.6 |
| Rank | 317 | 151 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Open | Open |

## Coding

- Llama 3-70B: 35.3 (#215)
- Mistral Medium 3.5: 35.7 (#208)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1206 | 1461 |
| LMArena WebDev | — | 1263 |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |

## Agentic & Tool Use

- Llama 3-70B: 20.9 (#132)
- Mistral Medium 3.5: —

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| Cybench | 5% | — |

## Reasoning

- Llama 3-70B: 17.4 (#284)
- Mistral Medium 3.5: 16.6 (#290)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | 41.4% |
| LMArena Hard Prompts | 1195 | 1436 |
| Epoch Capabilities Index | 122.91 | 141.42 |
| NYT Connections (extended) | — | 12.9% |
| DTBench | 54.2% | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |

## Math

- Llama 3-70B: 12.0 (#299)
- Mistral Medium 3.5: 36.4 (#113)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1218 | 1432 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| MATH Level 5 | 22.6% | — |

## Knowledge

- Llama 3-70B: 20.8 (#272)
- Mistral Medium 3.5: 39.3 (#123)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1149 | 1431 |
| GPQA Diamond | 40.6% | — |
| MMLU | 79.3% | — |

## Multimodal

- Llama 3-70B: —
- Mistral Medium 3.5: 37.6 (#64)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |

## Multilingual

- Llama 3-70B: 33.8 (#246)
- Mistral Medium 3.5: 52.1 (#93)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1142 | 1405 |
| LMArena Chinese | 1114 | 1443 |
| LMArena French | 1231 | 1448 |
| LMArena German | 1169 | 1453 |
| LMArena Korean | 1017 | 1387 |
| LMArena Russian | 1159 | 1396 |
| LMArena Spanish | 1241 | 1406 |
| LMArena Japanese | 1017 | — |

## Instruction Following

- Llama 3-70B: 62.8 (#233)
- Mistral Medium 3.5: 74.7 (#87)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1194 | 1414 |

## Long Context

- Llama 3-70B: 35.6 (#235)
- Mistral Medium 3.5: 43.2 (#101)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1174 | 1414 |

## Writing & Preference

- Llama 3-70B: 43.0 (#225)
- Mistral Medium 3.5: 58.6 (#113)

| Benchmark | Llama 3-70B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1221 | 1421 |
| LMArena Creative Writing | 1210 | 1372 |
| LMArena Multi-Turn | 1223 | 1423 |
| EQ-Bench 4 | — | 993 |

## FAQ

### Is Llama 3-70B better than Mistral Medium 3.5?

Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 28.5 on the Noometry Index.

### Is Llama 3-70B or Mistral Medium 3.5 better for coding?

They score almost the same on coding (35.3 vs 35.7); test both on your own repository before choosing.

### How many benchmarks do Llama 3-70B and Mistral Medium 3.5 share?

18 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Mistral Medium 3.5 has 22.