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DeepSeek-V3 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 32.5% higher average benchmark score. Overall, GPT-5 Codex is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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OpenAI
GPT-5 Codex was developed as a specialized variant of GPT-5 optimized for programming and software development tasks. Built to understand and generate code across multiple programming languages, it serves developers with enhanced capabilities for code completion, debugging, translation, and explanation of complex codebases.
8 months newer
DeepSeek-V3
DeepSeek
2024-12-25
GPT-5 Codex
OpenAI
2025-09-15
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3
Average Score:42.0%
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GPT-5 Codex
Average Score:74.5%(+32.5%)
Performance comparison across key benchmark categories
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DeepSeek-V3
Coding42.0%
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GPT-5 Codex
Coding74.5%(+32.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 Codex
2024-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-5 Codex
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DeepSeek-V3
Avg Score:42.0%
Providers:1
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GPT-5 Codex
Avg Score:74.5%(+32.5%)
Providers:0