Model Comparison
DeepSeek-V3 0324 vs Llama-3.3 Nemotron Super 49B v1
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 1 benchmarks (GPQA), while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (MATH-500).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 621.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 1244.7% 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 Llama-3.3 Nemotron Super 49B v1 uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.
DeepSeek-V3 0324 is 0 month newer than Llama-3.3 Nemotron Super 49B v1.
Mar 25, 2025
1.1 years ago
1w newerMar 18, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while DeepSeek-V3 0324's cutoff date is not specified.
We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek-V3 0324's cutoff date.
—
Dec 2023
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 0324 vs Llama-3.3 Nemotron Super 49B v1