o1
OpenAI's original frontier reasoning model — deep thinking for the hardest problems
Quick calculator
Tips to reduce cost
- →Use prompt caching to reuse repeated system prompts
- →Trim whitespace and reduce verbose instructions
- →Use a smaller model for classification or routing tasks
- →Batch async requests to get 50% discount (OpenAI/Anthropic)
- →Cache identical requests at the application layer
Similar models from OpenAI
Compared at your current token settings
About o1
o1 is a premium large language model from openai, priced at $15/1M input tokens and $60/1M output tokens. It is priced above the market average and best suited for hard reasoning problems. The 200k context window handles long documents, extended conversations, and large code files comfortably.
As a reasoning model, o1 generates internal thinking tokens before responding. These are billed at the output token rate and can add 2–8x to effective output cost. For tasks requiring deep reasoning — math, complex coding, multi-step analysis — this overhead is usually justified by fewer errors and retries.
o1 supports prompt caching at $7.5/1M — a 50% discount on repeated input tokens. For applications with a fixed system prompt or repeated document context (RAG, chatbots, agents), enabling caching is the single highest-leverage cost optimization available.