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Qwen3 235B A22B vs QwQ-32B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Alibaba Cloud / Qwen Team
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
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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 235B A22B
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 235B A22B
Average Score:70.4%(+0.8%)
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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 235B A22B
4 providers
DeepInfra
Throughput: 21.74 tok/s
Latency: 1.23ms
Fireworks
Throughput: 68.17 tok/s
Latency: 0.78ms
Novita
Throughput: 38.51 tok/s
Latency: 1.02ms
Together
Throughput: 23.74 tok/s
Latency: 0.79ms
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Qwen3 235B A22B
Avg Score:70.4%(+0.8%)
Providers:4
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QwQ-32B
Avg Score:69.5%
Providers:0