Here’s a quick overview of **OpenAI API pricing**. ## How pricing works OpenAI API pricing is generally based on: - **Model used** (different models cost different amounts) - **Input tokens** you send - **Output tokens** the model generates - Sometimes **extra tools/features** like image generation, audio, or file/search tools ## Common pricing structure For text models, pricing is usually quoted as: - **$/1M input tokens** - **$/1M output tokens** That means: - **Input tokens** = your prompt, system instructions, conversation history, etc. - **Output tokens** = the model’s response ## Best source for current pricing Pricing changes over time, so the most accurate place is OpenAI’s official pricing page: **https://openai.com/pricing** If you want, I can also: 1. give you a **current model-by-model pricing summary**, or 2. help you **estimate the cost of a specific app/workload**.

Prompt

OpenAI API pricing

Artificial Intelligence / AI Platforms1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026

OpenAI APIWeb search: off

Here’s a quick overview of OpenAI API pricing.

How pricing works

OpenAI API pricing is generally based on:

Model used (different models cost different amounts)
Input tokens you send
Output tokens the model generates
Sometimes extra tools/features like image generation, audio, or file/search tools

Common pricing structure

For text models, pricing is usually quoted as:

$/1M input tokens
$/1M output tokens

That means:

Input tokens = your prompt, system instructions, conversation history, etc.
Output tokens = the model’s response

Best source for current pricing

Pricing changes over time, so the most accurate place is OpenAI’s official pricing page: https://openai.com/pricing

If you want, I can also:

give you a current model-by-model pricing summary, or
help you estimate the cost of a specific app/workload.

Brands

OpenAI

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.