Model Comparison
DeepSeek-V3 0324 vs Nemotron Nano 9B v2
Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 1 benchmarks (GPQA), while Nemotron Nano 9B v2 is better at 2 benchmarks (LiveCodeBench, MATH-500).
Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 662.1B more parameters than Nemotron Nano 9B v2, making it 7439.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
NVIDIA Open Model License Agreement
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Nemotron Nano 9B v2 was released on 2025-08-18.
Nemotron Nano 9B v2 is 5 months newer than DeepSeek-V3 0324.
Mar 25, 2025
1.1 years ago
Aug 18, 2025
8 months ago
4mo newerKnowledge Cutoff
When training data ends
Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while DeepSeek-V3 0324's cutoff date is not specified.
We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without DeepSeek-V3 0324's cutoff date.
—
Sep 2024
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 0324 vs Nemotron Nano 9B v2.