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DeepSeek-V3.1 vs GPT-5
Comprehensive side-by-side LLM comparison
GPT-5 leads with 25.4% higher average benchmark score. GPT-5 offers 200.3K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $9.98 cheaper per million tokens. GPT-5 supports multimodal inputs. Overall, GPT-5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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OpenAI
GPT-5 represents the next generation of OpenAI's foundational models, developed to advance the frontier of AI capabilities in reasoning, knowledge, and general intelligence. Built to push beyond the limitations of GPT-4, it incorporates architectural and training improvements designed to enhance performance across diverse tasks and domains.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
GPT-5
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($9.98 cheaper)
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GPT-5
Input:$1.25
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek-V3.1
Average Score:48.4%
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GPT-5
Average Score:73.7%(+25.4%)
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Coding66.0%
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GPT-5
Coding74.9%(+8.9%)
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Knowledge Cutoff
Training data recency comparison
GPT-5
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
2 providers
DeepInfra
Novita
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GPT-5
2 providers
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DeepSeek-V3.1
Avg Score:48.4%
Providers:2
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GPT-5
Avg Score:73.7%(+25.4%)
Providers:2