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Llama 3.2 3B Instruct vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 19.5% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
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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.
5 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Llama 3.2 3B Instruct
Average Score:55.1%
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QwQ-32B
Average Score:74.6%(+19.5%)
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Knowledge Cutoff
Training data recency comparison
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 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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QwQ-32B
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Llama 3.2 3B Instruct
Avg Score:55.1%
Providers:1
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QwQ-32B
Avg Score:74.6%(+19.5%)
Providers:0