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Gemma 3 1B vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 37.1% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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Gemma 3 1B was created as an ultra-lightweight open-source model, designed to enable AI capabilities on devices with limited resources. Built with just 1 billion parameters while maintaining instruction-following abilities, it serves edge computing, mobile applications, and scenarios where minimal footprint is essential.
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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.
7 days newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Gemma 3 1B
2025-03-12
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Average performance across 3 common benchmarks
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Gemma 3 1B
Average Score:33.8%
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QwQ-32B
Average Score:70.8%(+37.1%)
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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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Gemma 3 1B
0 providers
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QwQ-32B
0 providers
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Gemma 3 1B
Avg Score:33.8%
Providers:0
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QwQ-32B
Avg Score:70.8%(+37.1%)
Providers:0