+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.2 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 6.5% higher average benchmark score. Overall, GPT-5 Codex 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.
+
+
+
+
OpenAI
GPT-5 Codex, released by OpenAI in August 2025, is a coding-specialized large language model from the GPT-5 family engineered for software engineering, code generation, and agentic development workflows. It builds on GPT-5's architecture with optimizations targeting multi-file code editing, test generation, and automated debugging. GPT-5 Codex targets developers and agentic coding tools requiring a model tuned specifically for programming tasks.
4 months newer
GPT-5 Codex
OpenAI
2025-08
DeepSeek-V3.2
DeepSeek
2025-12-01
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek-V3.2
Average Score:37.5%
+
+
+
+
GPT-5 Codex
Average Score:44.0%(+6.5%)
Performance comparison across key benchmark categories
+
+
+
+
DeepSeek-V3.2
Coding37.5%
+
+
+
+
GPT-5 Codex
Coding44.0%(+6.5%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.2
1 providers
DeepSeek
+
+
+
+
GPT-5 Codex
0 providers
+
+
+
+
DeepSeek-V3.2
Avg Score:37.5%
Providers:1
+
+
+
+
GPT-5 Codex
Avg Score:44.0%(+6.5%)
Providers:0