Comprehensive side-by-side LLM comparison
DeepSeek-V3.2 leads with 8.4% higher average benchmark score. Qwen3-Max offers 134.3K more tokens in context window than DeepSeek-V3.2. DeepSeek-V3.2 is $0.63 cheaper per million tokens. Overall, DeepSeek-V3.2 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2, released by DeepSeek on December 1, 2025, is a large language model with 685 billion total parameters featuring integrated thinking in tool-use and support for both reasoning and direct generation modes. It features a 128K token context window and introduced large-scale agent training across 1,800+ environments. DeepSeek-V3.2 targets agentic workflows, complex instruction following, and coding tasks under an open MIT license.
Alibaba / Qwen
Qwen3-Max, released by Alibaba in September 2025 as an API preview, is a large language model exceeding one trillion parameters built for complex reasoning and long-context tasks. It features a 262K token context window, hybrid thinking modes that allow switching between direct generation and extended chain-of-thought, and is available as a proprietary cloud API via Alibaba Cloud and Qwen Chat. Qwen3-Max targets demanding reasoning, multilingual analysis, and applications requiring frontier-level performance from the Qwen3 generation.
2 months newer
Qwen3-Max
Alibaba / Qwen
2025-09-05

DeepSeek-V3.2
DeepSeek
2025-12-01
Cost per million tokens (USD)
DeepSeek-V3.2
Qwen3-Max
Context window and performance specifications
Average performance across 1 common benchmarks
DeepSeek-V3.2
Qwen3-Max
Performance comparison across key benchmark categories
DeepSeek-V3.2
Qwen3-Max
Available providers and their performance metrics
DeepSeek-V3.2
DeepSeek
Qwen3-Max
DeepSeek-V3.2
Qwen3-Max
DeepSeek-V3.2
Qwen3-Max
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