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Gemma 3n E4B Instructed vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 45.8% higher average benchmark score. Gemma 3n E4B Instructed supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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Gemma 3N E4B IT was created as the instruction-tuned version of Gemma 3N E4B, designed to combine improved capability with edge optimization. Built for applications requiring both responsive instruction-following and edge-friendly efficiency, it serves as a stronger option for on-device AI assistants.
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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.
3 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Gemma 3n E4B Instructed
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemma 3n E4B Instructed
Average Score:18.4%
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QwQ-32B
Average Score:64.3%(+45.8%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
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 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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QwQ-32B
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Gemma 3n E4B Instructed
Avg Score:18.4%
Providers:1
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QwQ-32B
Avg Score:64.3%(+45.8%)
Providers:0