DeepSeek R1 Zero vs Mistral Small 3.1 24B Instruct
DeepSeek R1 Zero leads the LLM Stats Score 16.0 to 4.2.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek R1 Zero leads the overall LLM Stats Score 16.0 to 4.2, ranking #226 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Zero 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 Zero
- overall performance matters — it scores 16.0 and ranks #226 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 3.1 24B Instruct
- 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 Zero · 9 for Mistral Small 3.1 24B Instruct
DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Instruct is better at 0 benchmarks.
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Zero has 647.0B more parameters than Mistral Small 3.1 24B Instruct, making it 2695.8% larger.
Input capabilities
Documented input modalities across available providers
Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas DeepSeek R1 Zero does not.
Mistral Small 3.1 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
Mistral Small 3.1 24B Instruct
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Mistral Small 3.1 24B Instruct 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 Zero was released on 2025-01-20, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.
Mistral Small 3.1 24B Instruct is 2 months newer than DeepSeek R1 Zero.
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 Zero and Mistral Small 3.1 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Zero vs Mistral Small 3.1 24B Instruct.
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