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Qwen3 30B A3B vs QwQ-32B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen3 30B A3B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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Alibaba Cloud / Qwen Team
Qwen3 30B was created with a mixture-of-experts architecture featuring 30 billion total parameters and 3 billion active parameters. Built to provide strong capabilities with efficient inference through sparse activation, it balances performance with practical computational requirements.
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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.
1 month newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Qwen3 30B A3B
Average Score:70.4%(+0.9%)
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QwQ-32B
Average Score:69.5%
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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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Qwen3 30B A3B
3 providers
DeepInfra
Throughput: 82.57 tok/s
Latency: 0.84ms
Fireworks
Throughput: 122.4 tok/s
Latency: 0.66ms
Novita
Throughput: 88.84 tok/s
Latency: 0.73ms
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Qwen3 30B A3B
Avg Score:70.4%(+0.9%)
Providers:3
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QwQ-32B
Avg Score:69.5%
Providers:0