# Llama 3.1-70B vs Mistral Small 3.2

> Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-70b-vs-mistral-small-3-2
- Last updated: 2026-10-12
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Llama 3.1-70B scores higher in 1 category and Mistral Small 3.2 in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Small 3.2 leads 26.3 to 13.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 3.6% for Llama 3.1-70B and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.
- Mistral Small 3.2 accepts more context: 256K tokens versus 128K.

## Snapshot

| | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 31.2 |
| Rank | 308 | 280 |
| Context | 128K | 256K |
| Input $/M | $0.40 | $0.0938 |
| Output $/M | $0.40 | $0.25 |
| Weights | Open | Open |

## Coding

- Llama 3.1-70B: 30.3 (#296)
- Mistral Small 3.2: —

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| LMArena Coding | 1260 | — |
| BigCodeBench Complete | 54.8% | — |

## Agentic & Tool Use

- Llama 3.1-70B: 25.1 (#112)
- Mistral Small 3.2: —

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |

## Reasoning

- Llama 3.1-70B: 21.6 (#220)
- Mistral Small 3.2: 18.1 (#287)

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| Epoch Capabilities Index | 125.92 | 131.74 |
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1241 | — |
| DTBench | 60% | — |
| LMCA | 14.8% | — |

## Math

- Llama 3.1-70B: 13.5 (#304)
- Mistral Small 3.2: 26.3 (#260)

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.6% | 30.3% |
| Omni-MATH | 21% | — |
| LMArena Math | 1252 | — |
| MATH Level 5 | 36.7% | — |

## Knowledge

- Llama 3.1-70B: 24.2 (#269)
- Mistral Small 3.2: 26.7 (#256)

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 44.2% | 49.1% |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1209 | — |
| MMLU | 80.1% | — |

## Multilingual

- Llama 3.1-70B: 38.8 (#225)
- Mistral Small 3.2: —

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1219 | — |
| LMArena Chinese | 1215 | — |
| LMArena French | 1261 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1253 | — |

## Instruction Following

- Llama 3.1-70B: 65.3 (#223)
- Mistral Small 3.2: —

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| IFEval | 82.1% | — |
| LMArena Instruction Following | 1231 | — |

## Long Context

- Llama 3.1-70B: 37.6 (#214)
- Mistral Small 3.2: —

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1241 | — |

## Writing & Preference

- Llama 3.1-70B: 35.4 (#267)
- Mistral Small 3.2: 45.0 (#224)

| Benchmark | Llama 3.1-70B | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 784 | 1255 |
| LMArena Text | 1261 | — |
| LMArena Creative Writing | 1232 | — |
| WildBench | 75.8% | — |
| LMArena Multi-Turn | 1256 | — |

## FAQ

### Is Llama 3.1-70B better than Mistral Small 3.2?

Mistral Small 3.2 is the stronger model overall, scoring 31.2 to 29.6 on the Noometry Index.

### Which is cheaper, Llama 3.1-70B or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.

### Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 128K.

### How many benchmarks do Llama 3.1-70B and Mistral Small 3.2 share?

4 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Mistral Small 3.2 has 6.