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Llama-3.3 Nemotron Super 49B v1 vs QwQ-32B
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 3.7% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
13 days newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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:81.6%(+3.7%)
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QwQ-32B
Average Score:77.9%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
QwQ-32B
2024-11-28
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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QwQ-32B
0 providers
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Llama-3.3 Nemotron Super 49B v1
Avg Score:81.6%(+3.7%)
Providers:0
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QwQ-32B
Avg Score:77.9%
Providers:0