Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 9.9% higher average benchmark score. GPT-4.1 nano offers 936.0K more tokens in context window than GPT-4o. GPT-4.1 nano is $12.00 cheaper per million tokens. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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.
OpenAI
GPT-4o, released by OpenAI in May 2024, is a multimodal large language model from the GPT-4 family that natively processes text, image, and audio inputs in a single end-to-end model. It features a 128K token context window and demonstrated competitive performance across coding, reasoning, and vision benchmarks at its release. GPT-4o targets general-purpose assistant applications, vision-enabled workflows, and use cases requiring low-latency multimodal understanding.
11 months newer

GPT-4o
OpenAI
2024-05-13

GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
GPT-4o
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-4.1 nano
GPT-4o
Performance comparison across key benchmark categories
GPT-4.1 nano
GPT-4o
GPT-4o
2024-04
GPT-4.1 nano
2024-06
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
GPT-4o
GPT-4.1 nano
GPT-4o
GPT-4.1 nano
GPT-4o
OpenAI