Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 24.1% higher average benchmark score. GPT-4.1 nano offers 752.7K more tokens in context window than DeepSeek-V3 0324. GPT-4.1 nano is $0.92 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, DeepSeek-V3 0324 is the stronger choice for coding tasks.
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.
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
20 days newer

DeepSeek-V3 0324
DeepSeek
2025-03-25

GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)

DeepSeek-V3 0324

GPT-4.1 nano
Context window and performance specifications
Average performance across 2 common benchmarks

DeepSeek-V3 0324

GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics

DeepSeek-V3 0324
Novita

GPT-4.1 nano

DeepSeek-V3 0324

GPT-4.1 nano

DeepSeek-V3 0324

GPT-4.1 nano
OpenAI