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DeepSeek VL2 vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
DeepSeek VL2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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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.
3 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
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Performance Metrics
Context window and performance specifications
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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 VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Llama-3.3 Nemotron Super 49B v1
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Llama-3.3 Nemotron Super 49B v1
Avg Score:0.0%
Providers:0