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Gemma 3 4B vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 26.3% higher average benchmark score. Gemma 3 4B supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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Gemma 3 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
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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 4B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemma 3 4B
Average Score:44.5%
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QwQ-32B
Average Score:70.8%(+26.3%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3 4B
2024-08-01
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 4B
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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QwQ-32B
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Gemma 3 4B
Avg Score:44.5%
Providers:1
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QwQ-32B
Avg Score:70.8%(+26.3%)
Providers:0