Comprehensive side-by-side LLM comparison
o4-mini leads with 41.8% higher average benchmark score. GPT-4.1 nano offers 780.3K more tokens in context window than o4-mini. GPT-4.1 nano is $5.00 cheaper per million tokens. Overall, o4-mini is the stronger choice for coding tasks.
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.
OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
2 days newer

GPT-4.1 nano
OpenAI
2025-04-14

o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)

GPT-4.1 nano

o4-mini
Context window and performance specifications
Average performance across 9 common benchmarks

GPT-4.1 nano

o4-mini
GPT-4.1 nano
2024-05-31
o4-mini
2024-05-31
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

o4-mini

GPT-4.1 nano

o4-mini

GPT-4.1 nano

o4-mini
OpenAI