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DeepSeek-R1-0528 vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 18.8% higher average benchmark score. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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NVIDIA
Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
2 months newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
DeepSeek-R1-0528
DeepSeek
2025-05-28
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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DeepSeek-R1-0528
Average Score:45.8%(+18.8%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:27.0%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:45.8%(+18.8%)
Providers:3
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Llama-3.3 Nemotron Super 49B v1
Avg Score:27.0%
Providers:0