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Llama-3.3 Nemotron Super 49B v1 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 14.0% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Llama-3.3 Nemotron Super 49B v1 is the stronger choice for coding 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.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
18 days newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
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Average performance across 2 common benchmarks
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Llama-3.3 Nemotron Super 49B v1
Average Score:79.0%(+14.0%)
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Qwen2.5 VL 32B Instruct
Average Score:65.0%
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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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Llama-3.3 Nemotron Super 49B v1
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Llama-3.3 Nemotron Super 49B v1
Avg Score:79.0%(+14.0%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:65.0%
Providers:0