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DeepSeek-V3.1 vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek-V3.1 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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
DeepSeek-V3.1
DeepSeek
2025-01-10
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.1
Average Score:62.3%
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Llama-3.3 Nemotron Super 49B v1
Average Score:62.5%(+0.2%)
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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-V3.1
2 providers
DeepInfra
Novita
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Llama-3.3 Nemotron Super 49B v1
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DeepSeek-V3.1
Avg Score:62.3%
Providers:2
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Llama-3.3 Nemotron Super 49B v1
Avg Score:62.5%(+0.2%)
Providers:0