DeepSeek R1 Zero vs Nemotron 3 Nano (30B A3B) Comparison
Comparing DeepSeek R1 Zero and Nemotron 3 Nano (30B A3B) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 1 benchmark (GPQA).
Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek R1 Zero has 639.0B more parameters than Nemotron 3 Nano (30B A3B), making it 1996.9% larger.
Context Window
Maximum input and output token capacity
Only Nemotron 3 Nano (30B A3B) specifies input context (262,144 tokens). Only Nemotron 3 Nano (30B A3B) specifies output context (262,144 tokens).
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
NVIDIA Open Model License Agreement
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Zero was released on 2025-01-20, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.
Nemotron 3 Nano (30B A3B) is 11 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.2 years ago
Dec 15, 2025
3 months ago
10mo newerKnowledge Cutoff
When training data ends
Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
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Nov 2025
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
Detailed Comparison
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