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GPT-5.2 vs Qwen3 Coder Next
Comprehensive side-by-side LLM comparison
GPT-5.2 leads with 11.0% higher average benchmark score. GPT-5.2 supports multimodal inputs. Overall, GPT-5.2 is the stronger choice for coding tasks.
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OpenAI
GPT-5.2, released by OpenAI on December 11, 2025, is a large language model from the GPT-5 family that improves on GPT-5 in general intelligence, long-context understanding, agentic tool-calling, and vision. It features a 400K token context window, 128K maximum output tokens, and a knowledge cutoff of August 2025. GPT-5.2 targets long-context coding tasks, extended document analysis, and complex agentic workflows requiring reliable instruction following.
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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.
1 month newer
GPT-5.2
OpenAI
2025-12-11
Qwen3 Coder Next
Alibaba / Qwen
2026-02-04
Average performance across 1 common benchmarks
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GPT-5.2
Average Score:51.0%(+11.0%)
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Qwen3 Coder Next
Average Score:40.0%
Performance comparison across key benchmark categories
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GPT-5.2
Coding51.0%(+11.0%)
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Qwen3 Coder Next
Coding40.0%
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Knowledge Cutoff
Training data recency comparison
GPT-5.2
2025-08
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5.2
0 providers
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Qwen3 Coder Next
0 providers
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GPT-5.2
Avg Score:51.0%(+11.0%)
Providers:0
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Qwen3 Coder Next
Avg Score:40.0%
Providers:0