Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 23.2% higher average benchmark score. GPT-5 nano offers 395.9K more tokens in context window than GPT-4 Turbo. GPT-5 nano is $39.55 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano is the stronger choice for coding tasks.
OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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.
1 year newer

GPT-4 Turbo
OpenAI
2024-04-09

GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)

GPT-4 Turbo

GPT-5 nano
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-4 Turbo

GPT-5 nano
GPT-4 Turbo
2023-12-31
GPT-5 nano
2024-05-30
Available providers and their performance metrics

GPT-4 Turbo
Azure
OpenAI


GPT-4 Turbo

GPT-5 nano

GPT-4 Turbo

GPT-5 nano
GPT-5 nano
OpenAI
ZeroEval