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DeepSeek-V3 0324 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 2.8% higher average benchmark score. GPT-5 nano offers 200.3K more tokens in context window than DeepSeek-V3 0324. GPT-5 nano is $0.97 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3-0324 represents a specific release iteration of DeepSeek-V3, developed to incorporate ongoing improvements and refinements. Built to provide enhanced stability and performance based on deployment learnings, it continues the evolution of the DeepSeek-V3 architecture with iterative enhancements.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
4 months newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3 0324
Input:$0.28
Output:$1.14
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GPT-5 nano
Input:$0.05
Output:$0.40($0.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3 0324
Average Score:68.4%
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GPT-5 nano
Average Score:71.2%(+2.8%)
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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 0324
1 providers
Novita
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GPT-5 nano
2 providers
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DeepSeek-V3 0324
Avg Score:68.4%
Providers:1
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GPT-5 nano
Avg Score:71.2%(+2.8%)
Providers:2