Comprehensive side-by-side LLM comparison
GPT-4.1 nano offers 944.3K more tokens in context window than DeepSeek-V3.2 Thinking. GPT-4.1 nano is $2.24 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3.2-Exp (DeepSeek-V3.2 Thinking), released by DeepSeek in September 2025, is the experimental preview release of the DeepSeek-V3.2 model featuring 685 billion total parameters and integrated thinking capabilities. It introduced the architecture and training approaches that became the foundation of the final V3.2 release, including thinking in tool-use and hybrid reasoning modes.
OpenAI
GPT-4.1 nano is OpenAI's smallest member of the GPT-4.1 family, released in April 2025 alongside GPT-4.1 and GPT-4.1 mini as the latency-optimized, cost-minimized option for high-throughput applications. Positioned below GPT-4.1 mini in both size and cost, it was designed for use cases where speed and affordability dominate over raw capability — including tool calling, intent classification, short-form instruction following, and retrieval-augmented lookup tasks. Unlike its larger siblings, it supports fine-tuning, making it a practical candidate for task-specific customization at scale without incurring the cost of fine-tuning larger models.
5 months newer

GPT-4.1 nano
OpenAI
2025-04-14

DeepSeek-V3.2 Thinking
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2 Thinking
GPT-4.1 nano
Context window and performance specifications
GPT-4.1 nano
2024-06
Available providers and their performance metrics
DeepSeek-V3.2 Thinking
DeepSeek
GPT-4.1 nano
DeepSeek-V3.2 Thinking
GPT-4.1 nano
DeepSeek-V3.2 Thinking
GPT-4.1 nano
OpenAI