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DeepSeek-V3 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 63.5% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.
8 months newer
DeepSeek-V3
DeepSeek
2024-12-25
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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DeepSeek-V3
Average Score:67.2%(+63.5%)
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GPT-5 Codex
Average Score:3.7%
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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:67.2%(+63.5%)
Providers:1
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GPT-5 Codex
Avg Score:3.7%
Providers:0