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DeepSeek-V2.5 vs GPT-5 Codex
Comprehensive side-by-side LLM comparison
GPT-5 Codex leads with 57.7% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Overall, GPT-5 Codex is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
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-V2.5
Average Score:16.8%
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GPT-5 Codex
Average Score:74.5%(+57.7%)
Performance comparison across key benchmark categories
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DeepSeek-V2.5
Coding16.8%
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GPT-5 Codex
Coding74.5%(+57.7%)
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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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:16.8%
Providers:3
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GPT-5 Codex
Avg Score:74.5%(+57.7%)
Providers:0