Model Comparison
DeepSeek R1 Distill Qwen 7B vs Nemotron 3 Nano (30B A3B)
Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 7B 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
Model Size
Parameter count comparison
Nemotron 3 Nano (30B A3B) has 24.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 319.9% 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 Distill Qwen 7B 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 Distill Qwen 7B 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 Distill Qwen 7B.
Jan 20, 2025
1.3 years ago
Dec 15, 2025
4 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 Distill Qwen 7B'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 Distill Qwen 7B's cutoff date.
—
Nov 2025
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 7B vs Nemotron 3 Nano (30B A3B).