OpenAI is testing a $100-a-month version of ChatGPT — and it finally fills a big gap

ChatGPT’s enormous global user base has created infrastructure demands that far exceed subscription income
OpenAI’s rising compute and energy expenses are pushing the company to explore ads and new revenue models
OpenAI is reshaping its business model and strategy to sustain AI access as usage continues to grow

OpenAI appears to be developing a new ChatGPT tier called ChatGPT Pro Lite, set at roughly $100 per month, according to code found by Testing Catalog. The code suggests that OpenAI may be looking to fill the gap in subscription prices between the $20-a-month ChatGPT Plus and the $200-a-month ChatGPT Pro.

The potential Pro Lite tier would land in the middle at $100, a bridge for users who regularly exceed Plus limits but cannot justify paying for Pro. ChatGPT Pro Lite would join an increasingly complicated selection of options expanded over the last year.

There's now ChatGPT Free, Go, Plus, and Pro, while businesses have options for Team, Business, and Enterprise. The spread makes sense in some ways, but for the average person, it's hard to justify a tenfold price increase, even if they are hitting the limits of ChatGPT Plus every month. A Pro Lite tier would finally create a middle step for people working on more demanding tasks, such as coding, research, and image and video generation.

And, as the discoverers pointed out, the timing of the development, so soon after OpenClaw creator Peter Steinberger joined OpenAI, is interesting. That open source agent framework would not really fit in at ChatGPT Plus prices, but would struggle to attract a ton of interest at Pro prices. A $100 plan could be the right middle ground.

Sam Altman and ChatGPT logo.

(Image credit: Shutterstock/Mijansk786)

There are no details about what ChatGPT Pro Lite will include. Presumably a lesser version of Pro, which offers unlimited access to OpenAI’s most advanced models along with fast inference speeds, high daily capacity, and the company’s strongest coding tools.

At the Plus level, the baseline models have stricter rate limits and can slow down during peak hours. A Pro Lite plan might offer most of Pro’s performance benefits, but with capped usage or higher limits than Plus. People who attempt deep reasoning tasks on Plus often encounter rate-limit messages at moments when they are mid-thought. Others run into capacity constraints when generating long sequences of images or using ChatGPT for iterative code revision.

A $100 plan could smooth out that friction. It could also expand the usefulness of newer features like desktop app integrations, voice mode, file-handling workflows, and coding assistance, which tend to demand more back-end resources than traditional chat.

ChatGPT Plus Lite

It could also help OpenAI compete with the subscriptions offered by Google, Anthropic, and other AI developers. Anthropic’s Claude Max is $100 per month, while Google Gemini can cost that much, depending on other Google products you purchase.

A $100 tier would not just reflect user demand but could help manage OpenAI’s soaring compute costs. Training and serving frontier-scale models remains extraordinarily expensive, and higher-usage customers create disproportionate load. Offering a mid-priced tier designed to handle those heavier workloads spreads the cost more sustainably. For OpenAI, this could be part of a long-term plan to stabilize revenue while continuing to roll out new capabilities at an aggressive pace.

As companies push toward more autonomous systems, more agentic workflows, and more capable multimodal tools, the infrastructure burden will continue to rise. Pricing tiers are one of the few levers companies can adjust without slowing innovation. If ChatGPT Pro Lite marks the start of a refined subscription structure, it could serve as a template for how AI companies balance services and pricing.

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Eric Hal Schwartz is a freelance writer for TechRadar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He's since become an expert on the products of generative AI models, such as OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he's continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.

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