OpenAI Review: Is It The Right Large Language Models (LLMs) For Your Team?
Best for SMB teams · Mid-market · Enterprise
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Starts from $0.05 / million input tokens
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What is OpenAI?
OpenAI develops the GPT family and sells access to it through its own API, with a rate printed per million tokens for every model. The published card separates the tokens a request reads from the tokens the model writes, and steps the rate up once a prompt passes 272,000 tokens. On the rate card read on 2026-11-08, gpt-6-astra is 10.00 dollars per million input tokens and 50.00 dollars per million output tokens, gpt-6.1-sol is 2.00 and 10.00, gpt-6.1-terra is 1.00 and 5.00, and the small gpt-5-nano is 0.05 and 0.40. The same account covers the Responses and Chat Completions endpoints, batch processing at a reduced rate, cached input at a large discount, fine-tuning and embeddings. OpenAI does not publish open weights for the GPT family, so the API is the only way to run these models.
Pricing
Starts from $0.05 / million input tokens
Best For
Suited for small teams, SMBs, and enterprise
Platform
Web-based — no mobile app
Browser Based (Cloud)
OpenAI was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.
Who should consider OpenAI
- Team types
- Small Business, Medium Business
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What is the pricing of OpenAI?
OpenAI Pricing Plans
gpt-5-nano
$0.05
per million input tokens
Input 0.05 dollars per 1M tokens
Output 0.40 dollars per 1M tokens
Smallest published model on the card
gpt-6-luna
$0.10
per million input tokens
Input 0.10 dollars per 1M tokens
Output 0.50 dollars per 1M tokens
gpt-6.1-terra
$1.00
per million input tokens
Input 1.00 dollars per 1M tokens
Output 5.00 dollars per 1M tokens
gpt-6.1-sol
$2.00
per million input tokens
Input 2.00 dollars per 1M tokens
Output 10.00 dollars per 1M tokens
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What are the features of OpenAI?
Running a model over a large collection of inputs as a scheduled or queued job instead of one request at a time. Since results are not neede…
Code generation produces source code from a higher-level input such as a natural language description, a specification, or an existing schem…
The context window is how much text, code or other input the model can hold in one request, counted in tokens, together with everything it h…
An embedding model converts text, images, or other content into a list of numbers — a vector — positioned so that items with similar meaning…
Fine-tuning continues training a published model on your own labelled examples, so it adopts a format, a house style or a narrow task withou…
A language model is given descriptions of the functions or tools available to it and, when a request needs one, returns a structured call na…
The model accepts more than text in a single request: images, audio, video frames or documents alongside the prompt. Pricing is usually sep…
Storing the processed form of a prompt's repeated content, such as a long system instruction or a reference document, so that it does not ha…
The vendor prints a rate per million tokens on its own site, separately for the tokens a request reads and the tokens the model writes, so t…
The model can be asked to work through a problem step by step before answering, spending extra generated tokens on the working rather than t…
An interface that returns a model's output incrementally as it is produced, rather than waiting for the full response and sending it in one…
OpenAI Support Options
Frequently Asked Questions About OpenAI
Common questions buyers ask before choosing OpenAI.
OpenAI is a Large Language Models (LLMs). OpenAI offers Published Token Pricing, Context Window, Function Calling, Streaming API, Prompt Caching and many more functionalities.
OpenAI offers Subscription pricing model
The starting price of OpenAI is $0.05/million input tokens
Ready to try it?
Get started with OpenAI
Get connected with the team for a personalised demo.
About the reviewer
Rajat Gupta is the founder of Spotsaas, where he has built software research covering 25,000+ products across CRM, HR, AI, and finance. He applies hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].