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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 21.7% 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 represents a specific release iteration of the DeepSeek-R1 model, developed to incorporate refinements and improvements from ongoing training. Built to provide enhanced reasoning capabilities based on accumulated insights, it continues the evolution of DeepSeek's reasoning-focused architecture.
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NVIDIA
Llama 3.3 Nemotron Super 49B was created through NVIDIA's optimization of Llama 3.3, designed to provide a balanced option with 49 billion parameters. Built to serve as a versatile mid-to-large-scale offering, it combines NVIDIA's customization expertise with Meta's foundation architecture.
2 months newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
DeepSeek-R1-0528
DeepSeek
2025-05-28
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-R1-0528
Average Score:84.3%(+21.7%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:62.5%
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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:84.3%(+21.7%)
Providers:3
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Llama-3.3 Nemotron Super 49B v1
Avg Score:62.5%
Providers:0