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DeepSeek-V3.2 Thinking vs Qwen3-235B-A22B
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B offers 134.3K more tokens in context window than DeepSeek-V3.2 Thinking. Qwen3-235B-A22B is $1.74 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
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Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
5 months newer
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2 Thinking
Input:$0.55
Output:$2.19
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Qwen3-235B-A22B
Input:$0.25
Output:$0.75($1.74 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2 Thinking
1 providers
DeepSeek
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Qwen3-235B-A22B
1 providers
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DeepSeek-V3.2 Thinking
Avg Score:0.0%
Providers:1
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Qwen3-235B-A22B
Avg Score:0.0%
Providers:1