Model Comparison
DeepSeek-R1-0528 vs Llama 3.1 Nemotron Ultra 253B v1
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1-0528 outperforms in 3 benchmarks (AIME 2025, GPQA, LiveCodeBench), while Llama 3.1 Nemotron Ultra 253B v1 is better at 0 benchmarks.
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek-R1-0528 has 418.0B more parameters than Llama 3.1 Nemotron Ultra 253B v1, making it 165.2% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).
License
Usage and distribution terms
DeepSeek-R1-0528 is licensed under MIT, while Llama 3.1 Nemotron Ultra 253B v1 uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
DeepSeek-R1-0528 was released on 2025-05-28, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.
DeepSeek-R1-0528 is 2 months newer than Llama 3.1 Nemotron Ultra 253B v1.
May 28, 2025
11 months ago
1mo newerApr 7, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while DeepSeek-R1-0528's cutoff date is not specified.
We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.
—
Dec 2023
Outputs Comparison
Key Takeaways
DeepSeek-R1-0528
View detailsDeepSeek
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek-R1-0528 vs Llama 3.1 Nemotron Ultra 253B v1.