About DeepSeek R1
An open-source reasoning in LLM from DeepSeek!
DeepSeek R1 vs Mistral Small 3 (2026)
A side-by-side comparison of DeepSeek R1 and Mistral Small 3, two llm AI agents. Compare pricing, access model, and key features to decide which fits your workflow.
Category
LLM
LLM
Industry
Technology
Horizontal
Pricing
Free
Free
Access
Open Source
Open Source
Upvotes
7
5
Views
814
933
About Mistral Small 3
Efficient, open-source AI model rivaling larger competitors with lower resource requirements.
Key features compared
🧠 RL-Driven Reasoning: DeepSeek R1 pioneers a unique approach, applying reinforcement learning directly to the base model without prior supervised fine-tuning.
🚀 Powerful Architecture: Features a robust 671B parameter MoE architecture with 37B activated.
🔥 High-Performing Distilled Models: Including a Qwen-32B variant that outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
✅ Open Source: DeepSeek has generously open-sourced both the main model and several smaller distilled models.
24B parameters
Apache 2.0 license
Low latency (150 tokens/s)
81% accuracy on MMLU
32k context window
Multilingual support
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