Comprehensive side-by-side LLM comparison
GPT-5 leads with 21.3% higher average benchmark score. GPT-4.1 nano offers 647.6K more tokens in context window than GPT-5. GPT-4.1 nano is $149.50 cheaper per million tokens. Overall, GPT-5 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-5, released by OpenAI on August 7, 2025, is a large language model that combines direct generation and extended reasoning in a single unified system with a built-in routing mechanism. It features a 400K token context window, 128K maximum output tokens, native multimodal support (text, image, audio, video), and demonstrated strong results across coding, mathematics, visual understanding, and health benchmarks at release. GPT-5 targets complex multi-step tasks including advanced coding, mathematical problem solving, and long-context analysis.
3 months newer

GPT-4.1 nano
OpenAI
2025-04-14

GPT-5
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-4.1 nano
GPT-5
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-4.1 nano
GPT-5
Performance comparison across key benchmark categories
GPT-4.1 nano
GPT-5
GPT-4.1 nano
2024-06
GPT-5
2025-05
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
GPT-5
GPT-4.1 nano
GPT-5
GPT-4.1 nano
GPT-5
OpenAI