Comprehensive side-by-side LLM comparison
o3 leads with 3.1% higher average benchmark score. GPT-4.1 nano offers 780.3K more tokens in context window than o3. GPT-4.1 nano is $49.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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
OpenAI o3, released by OpenAI in April 2025, is a large reasoning model that applies extended chain-of-thought processing to deliver improved performance on complex math, science, and coding tasks. It features a 200K token context window and native image understanding, with demonstrated strong results on mathematics and software engineering benchmarks. o3 targets demanding analytical and engineering tasks where deliberate, multi-step reasoning produces significantly better outcomes than direct generation.
2 days newer

GPT-4.1 nano
OpenAI
2025-04-14

o3
OpenAI
2025-04-16
Cost per million tokens (USD)
GPT-4.1 nano
o3
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-4.1 nano
o3
Performance comparison across key benchmark categories
GPT-4.1 nano
o3
GPT-4.1 nano
2024-06
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
o3
GPT-4.1 nano
o3
GPT-4.1 nano
o3
OpenAI