Model Comparison
DeepSeek R1 Zero vs Nemotron 3 Super (120B A12B)
Nemotron 3 Super (120B A12B) significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 0 benchmarks, while Nemotron 3 Super (120B A12B) is better at 2 benchmarks (GPQA, LiveCodeBench).
Nemotron 3 Super (120B A12B) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek R1 Zero has 551.0B more parameters than Nemotron 3 Super (120B A12B), making it 459.2% larger.
Context Window
Maximum input and output token capacity
Only Nemotron 3 Super (120B A12B) specifies input context (262,144 tokens). Only Nemotron 3 Super (120B A12B) specifies output context (262,144 tokens).
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Nemotron 3 Super (120B A12B) 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 Super (120B A12B) was released on 2026-03-11.
Nemotron 3 Super (120B A12B) is 14 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.4 years ago
Mar 11, 2026
2 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Nemotron 3 Super (120B A12B) has a documented knowledge cutoff of 2025-06-01, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm Nemotron 3 Super (120B A12B)'s training data extends to 2025-06-01, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
—
Jun 2025
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs Nemotron 3 Super (120B A12B).