Llama 3.1 Nemotron 70B Instruct vs Mistral Small 3.2 24B Instruct
Mistral Small 3.2 24B Instruct leads the LLM Stats Score 7.9 to -0.1.
NVIDIA · Mistral AI · Updated for 2026
Which is better?
Mistral Small 3.2 24B Instruct leads the overall LLM Stats Score 7.9 to -0.1, ranking #318 overall.
In the 1 individual benchmarks reported for both models, Mistral Small 3.2 24B Instruct wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Llama 3.1 Nemotron 70B Instruct
- you are already invested in the NVIDIA ecosystem
Choose Mistral Small 3.2 24B Instruct
- overall performance matters — it scores 7.9 and ranks #318 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Jun 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Llama 3.1 Nemotron 70B Instruct · 15 for Mistral Small 3.2 24B Instruct
Llama 3.1 Nemotron 70B Instruct outperforms in 0 benchmarks, while Mistral Small 3.2 24B Instruct is better at 1 benchmark (MMLU).
Mistral Small 3.2 24B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 3.1 Nemotron 70B Instruct has 46.4B more parameters than Mistral Small 3.2 24B Instruct, making it 196.6% larger.
Context Window
Maximum input and output token capacity
Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.
Mistral Small 3.2 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.1 Nemotron 70B Instruct
Mistral Small 3.2 24B Instruct
License
Usage and distribution terms
Llama 3.1 Nemotron 70B Instruct is licensed under Llama 3.1 Community License, while Mistral Small 3.2 24B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.
Mistral Small 3.2 24B Instruct is 9 months newer than Llama 3.1 Nemotron 70B Instruct.
Oct 1, 2024
2.1 years ago
Jun 20, 2025
1.4 years ago
8mo newerKnowledge Cutoff
When training data ends
Llama 3.1 Nemotron 70B Instruct has a knowledge cutoff of 2023-12-01, while Mistral Small 3.2 24B Instruct has a cutoff of 2023-10-01.
Llama 3.1 Nemotron 70B Instruct has more recent training data (up to 2023-12-01), making it potentially better informed about events through that date compared to Mistral Small 3.2 24B Instruct (2023-10-01).
Dec 2023
2 mo newerOct 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.1 Nemotron 70B Instruct and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.1 Nemotron 70B Instruct vs Mistral Small 3.2 24B Instruct.