# Llama 3.1-70B vs Mistral Nemo

> Llama 3.1-70B is the stronger model overall, scoring 29.4 to 25.9 on the Noometry Index. Mistral Nemo costs 2.7× less per token, which makes it the better buy when Llama 3.1-70B's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/llama-3-1-70b-vs-mistral-nemo
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Llama 3.1-70B scores higher in 4 categories and Mistral Nemo in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.1-70B leads 24.1 to 12.3.
- The biggest single-benchmark swing is MATH Level 5: 36.7% for Llama 3.1-70B and 10.8% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.

## Snapshot

| | Llama 3.1-70B | Mistral Nemo |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.4 | 25.9 |
| Rank | 299 | 332 |
| Context | 128K | 128K |
| Input $/M | $0.40 | $0.15 |
| Output $/M | $0.40 | $0.15 |
| Weights | Open | Open |

## Coding

- Llama 3.1-70B: 29.8 (#292)
- Mistral Nemo: —

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

## Agentic & Tool Use

- Llama 3.1-70B: 24.9 (#104)
- Mistral Nemo: 23.3 (#118)

| Benchmark | Llama 3.1-70B | Mistral Nemo |
|---|---|---|
| BALROG | 27.9% | 17.6% |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| TheAgentCompany | 6.9% | — |

## Reasoning

- Llama 3.1-70B: 20.8 (#215)
- Mistral Nemo: 19.9 (#230)

| Benchmark | Llama 3.1-70B | Mistral Nemo |
|---|---|---|
| DTBench | 60% | 48.6% |
| Epoch Capabilities Index | 125.91 | 118.63 |
| LMArena Hard Prompts | 1241 | — |
| LMCA | 14.8% | — |
| PIQA | — | 83.5% |

## Math

- Llama 3.1-70B: 12.7 (#298)
- Mistral Nemo: 23.5 (#263)

| Benchmark | Llama 3.1-70B | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 36.7% | 10.8% |
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| LMArena Math | 1252 | — |
| GSM8K | — | 84.2% |

## Knowledge

- Llama 3.1-70B: 24.1 (#264)
- Mistral Nemo: 12.3 (#293)

| Benchmark | Llama 3.1-70B | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 44.2% | 29.9% |
| MMLU-Pro | 65.3% | — |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1209 | — |
| BoolQ | — | 82.5% |
| MMLU | 80.1% | — |

## Multilingual

- Llama 3.1-70B: 38.9 (#220)
- Mistral Nemo: —

| Benchmark | Llama 3.1-70B | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1219 | — |
| LMArena Chinese | 1215 | — |
| LMArena French | 1260 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1253 | — |

## Instruction Following

- Llama 3.1-70B: 65.5 (#218)
- Mistral Nemo: —

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

## Long Context

- Llama 3.1-70B: 37.6 (#208)
- Mistral Nemo: —

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

## Writing & Preference

- Llama 3.1-70B: 35.6 (#262)
- Mistral Nemo: 28.6 (#291)

| Benchmark | Llama 3.1-70B | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 784 | 881 |
| LMArena Text | 1261 | — |
| LMArena Creative Writing | 1232 | — |
| WildBench | 75.8% | — |
| LMArena Multi-Turn | 1256 | — |

## FAQ

### Is Llama 3.1-70B better than Mistral Nemo?

Llama 3.1-70B is the stronger model overall, scoring 29.4 to 25.9 on the Noometry Index. Mistral Nemo costs 2.7× less per token, which makes it the better buy when Llama 3.1-70B's lead doesn't matter for your workload.

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

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.

### Which has the bigger context window?

Both accept 128K tokens.

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

6 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Mistral Nemo has 10.