Comprehensive side-by-side LLM comparison
o4-mini leads with 28.8% higher average benchmark score. o4-mini offers 139.2K more tokens in context window than o1-preview. o4-mini is $69.50 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
OpenAI
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
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.
7 months newer

o1-preview
OpenAI
2024-09-12

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

o1-preview

o4-mini
Context window and performance specifications
Average performance across 3 common benchmarks

o1-preview

o4-mini
Performance comparison across key benchmark categories

o1-preview

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

o1-preview
Azure
OpenAI


o1-preview

o4-mini

o1-preview

o4-mini
o4-mini
OpenAI