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DeepSeek-V3.1 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 40.3% higher average benchmark score. GPT-5 nano offers 200.3K more tokens in context window than DeepSeek-V3.1. GPT-5 nano is $0.82 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
GPT-5 nano
OpenAI
2025-08-07
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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GPT-5 nano
Input:$0.05
Output:$0.40($0.82 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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DeepSeek-V3.1
Average Score:55.0%(+40.3%)
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GPT-5 nano
Average Score:14.7%
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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 nano
2 providers
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DeepSeek-V3.1
Avg Score:55.0%(+40.3%)
Providers:2
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GPT-5 nano
Avg Score:14.7%
Providers:2