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DeepSeek-V3.2 vs GPT-5.1 Codex
Comprehensive side-by-side LLM comparison
GPT-5.1 Codex leads with 5.4% higher average benchmark score. Overall, GPT-5.1 Codex is the stronger choice for coding tasks.
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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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OpenAI
GPT-5.1 Codex, released by OpenAI in November 2025, is a coding-specialized model from the GPT-5.1 family engineered for software engineering tasks including code generation, multi-file editing, and agentic development. It targets developers and automated coding pipelines requiring a GPT-5.1-generation model tuned for programming.
1 month newer
GPT-5.1 Codex
OpenAI
2025-11
DeepSeek-V3.2
DeepSeek
2025-12-01
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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GPT-5.1 Codex
Average Score:42.9%(+5.4%)
Performance comparison across key benchmark categories
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DeepSeek-V3.2
Coding37.5%
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GPT-5.1 Codex
Coding42.9%(+5.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2
1 providers
DeepSeek
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GPT-5.1 Codex
0 providers
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DeepSeek-V3.2
Avg Score:37.5%
Providers:1
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GPT-5.1 Codex
Avg Score:42.9%(+5.4%)
Providers:0