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DeepSeek-V3.2 vs Qwen3 Coder Next
Comprehensive side-by-side LLM comparison
Qwen3 Coder Next leads with 2.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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.
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Alibaba / Qwen
Qwen3 Coder Next is a coding-specialized open-weight model from Alibaba's Qwen3 family, built on the Qwen3-Next architecture with hybrid attention and Mixture-of-Experts design optimized for local development and agentic coding workflows. It targets on-device and self-hosted deployments requiring a capable coding agent that can operate within consumer hardware constraints.
2 months newer
DeepSeek-V3.2
DeepSeek
2025-12-01
Qwen3 Coder Next
Alibaba / Qwen
2026-02-04
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.2
Average Score:37.5%
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Qwen3 Coder Next
Average Score:40.0%(+2.5%)
Performance comparison across key benchmark categories
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DeepSeek-V3.2
Coding37.5%
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Qwen3 Coder Next
Coding40.0%(+2.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2
1 providers
DeepSeek
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Qwen3 Coder Next
0 providers
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DeepSeek-V3.2
Avg Score:37.5%
Providers:1
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Qwen3 Coder Next
Avg Score:40.0%(+2.5%)
Providers:0