DeepSeek R1 Distill Llama 8B vs Mistral Small 3.1 24B Base
DeepSeek R1 Distill Llama 8B and Mistral Small 3.1 24B Base are closely matched at 7.0 and 0.3 on the LLM Stats Score.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 8B and Mistral Small 3.1 24B Base are closely matched on the overall LLM Stats Score at 7.0 and 0.3.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 8B 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 DeepSeek R1 Distill Llama 8B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Mistral Small 3.1 24B Base
- you want the most recent training data — it shipped Mar 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 8B · 5 for Mistral Small 3.1 24B Base
DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks.
DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Mistral Small 3.1 24B Base has 16.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 198.9% larger.
Context Window
Maximum input and output token capacity
Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Small 3.1 24B Base supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.
Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 8B
Mistral Small 3.1 24B Base
License
Usage and distribution terms
DeepSeek R1 Distill Llama 8B is licensed under MIT, while Mistral Small 3.1 24B Base uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Mistral Small 3.1 24B Base was released on 2025-03-17.
Mistral Small 3.1 24B Base is 2 months newer than DeepSeek R1 Distill Llama 8B.
Jan 20, 2025
1.7 years ago
Mar 17, 2025
1.5 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 8B and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 8B vs Mistral Small 3.1 24B Base.