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DeepSeek-V2.5 vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 6.8% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Overall, Llama-3.3 Nemotron Super 49B v1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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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.
10 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
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-V2.5
Average Score:83.2%
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Llama-3.3 Nemotron Super 49B v1
Average Score:90.0%(+6.8%)
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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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:83.2%
Providers:3
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Llama-3.3 Nemotron Super 49B v1
Avg Score:90.0%(+6.8%)
Providers:0