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GPT-5.2 Codex vs Qwen3 Coder Next
Comprehensive side-by-side LLM comparison
GPT-5.2 Codex leads with 5.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5.2 Codex is a coding-specialized variant from the GPT-5.2 family, designed for software engineering workflows including automated code generation, multi-file editing, and agentic development. It builds on GPT-5.2's improved instruction following and long-context capabilities, with optimizations specifically targeting programming tasks and agentic software workflows.
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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.
21 days newer
GPT-5.2 Codex
OpenAI
2026-01-14
Qwen3 Coder Next
Alibaba / Qwen
2026-02-04
Average performance across 1 common benchmarks
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GPT-5.2 Codex
Average Score:45.0%(+5.0%)
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Qwen3 Coder Next
Average Score:40.0%
Performance comparison across key benchmark categories
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GPT-5.2 Codex
Coding45.0%(+5.0%)
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Qwen3 Coder Next
Coding40.0%
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5.2 Codex
0 providers
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Qwen3 Coder Next
0 providers
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GPT-5.2 Codex
Avg Score:45.0%(+5.0%)
Providers:0
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Qwen3 Coder Next
Avg Score:40.0%
Providers:0