Provider: OpenAI

ChatGPT o1 Price

The original chain-of-thought GPT—still strong in math.

Current Pricing

Price per 1 million tokens

Input Tokens

$15.00

per 1M tokens you send

Output Tokens

$60.00

per 1M tokens you receive

Input tokens represent the text you send to the model for processing. Output tokens represent the model's generated response. Pricing is set by OpenAI and reflects current API rates as of October 2025.

Quick Cost Calculator

Light Usage

~$7.5

per month

  • 100K input tokens
  • 100K output tokens
  • ~75 pages of text processed

Medium Usage

~$75

per month

  • 1M input tokens
  • 1M output tokens
  • ~750 pages of text processed

Heavy Usage

~$750

per month

  • 10M input tokens
  • 10M output tokens
  • ~7,500 pages of text processed

Model Specifications

ChatGPT o1 by OpenAI is a reasoning‑focused AI model built for analysis, planning, and high‑accuracy answers.

Provider

OpenAI

Modality

Text

Text-only processing

Context Window

200000 tokens

Maximum tokens per request

Input Price

$15.00

per 1M input tokens

Output Price

$60.00

per 1M output tokens

Advanced Features

Tool Calling
JSON Mode
Streaming

Introduction

ChatGPT o1 is a large language model from OpenAI designed for real‑world applications where speed, quality and cost all matter. It’s priced at $15.00 per million input tokens and $60.00 per million output tokens, so teams can estimate usage‑based spend with simple math.

The model supports a context window of about 200,000 tokens, which is enough for long chats, multi‑document prompts, or passing rich system instructions without constant truncation. Compared with purely fast chat models, it devotes more compute to structured, step‑wise reasoning. That makes it a strong choice for planning, data analysis write‑ups, multi‑step transformations, and agent loops where correctness beats raw speed.

In stack choices, many teams compare ChatGPT o1 against Claude 4 Opus. The trade‑off usually comes down to latency tolerance, budget per request, and whether you need image understanding or deeper chain‑of‑thought style reasoning. If you’re cost‑sensitive, keep prompts concise, cache system instructions, and stream outputs so users perceive faster response. If quality is the priority, add brief exemplars and explicit success criteria in the prompt; small guidance often yields outsized gains.

For production, pair the model with guardrails (content filters, schema validators) and log prompts/responses for offline evaluation. Finally, create simple comparison tests—five to ten representative tasks from your app—to verify this model’s answers, latency and cost against your alternatives before you commit. To control spend, consider tiering workloads: route routine queries to a cheaper sibling and reserve this model for complex or customer‑visible moments. Add retries with temperature control, and prefer JSON‑mode or tool calling for structured outputs that slot directly into your pipeline without brittle parsing.

What is ChatGPT o1?

ChatGPT o1 is a AI model from OpenAI. It emphasizes step‑wise reasoning for harder problems and planning tasks. Pricing is $15.00 per 1M input tokens and $60.00 per 1M output tokens. The context window is roughly 200,000 tokens, allowing long prompts and documents. Common uses include chat assistants, summarization, knowledge search, report drafting, and, when supported, image understanding or tool use. It integrates well into web apps, backends, and automation pipelines where latency and reliability matter.

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