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DeepSeek-V3.2-Exp vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 1.9% higher average benchmark score. GPT-4.1 nano offers 851.0K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.
5 months newer
GPT-4.1 nano
OpenAI
2025-04-14
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
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GPT-4.1 nano
Input:$0.10
Output:$0.40($0.18 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:25.0%(+1.9%)
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GPT-4.1 nano
Average Score:23.1%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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GPT-4.1 nano
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DeepSeek-V3.2-Exp
Avg Score:25.0%(+1.9%)
Providers:2
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GPT-4.1 nano
Avg Score:23.1%
Providers:1