DeepSeek R1 Distill Qwen 32B vs Mistral Small 3 24B Base
DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.1 to -0.3.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B leads the overall LLM Stats Score 13.1 to -0.3, ranking #264 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B 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 Qwen 32B
- overall performance matters — it scores 13.1 and ranks #264 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
Choose Mistral Small 3 24B Base
- you want the most recent training data — it shipped Jan 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 Qwen 32B · 9 for Mistral Small 3 24B Base
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Base is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Distill Qwen 32B has 9.2B more parameters than Mistral Small 3 24B Base, making it 39.0% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Small 3 24B Base supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.
Mistral Small 3 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 32B
Mistral Small 3 24B Base
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Mistral Small 3 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 Qwen 32B was released on 2025-01-20, while Mistral Small 3 24B Base was released on 2025-01-30.
Mistral Small 3 24B Base is 0 month newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.7 years ago
Jan 30, 2025
1.7 years ago
1w newerKnowledge Cutoff
When training data ends
Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.
We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.
—
Oct 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Mistral Small 3 24B Base.