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Qwen3 235B A22B vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 4.1% higher average benchmark score. Both models have similar pricing. 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
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
Launched on the same date
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($0.20 cheaper)
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Qwen3 32B
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Qwen3 235B A22B
Average Score:76.9%(+4.1%)
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Qwen3 32B
Average Score:72.8%
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:76.9%(+4.1%)
Providers:4
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Qwen3 32B
Avg Score:72.8%
Providers:3