OpenAI Scraps Text Chat Limits for Free Users, Upgrades GPT-5.6 Sol for Paying Subscribers – finance.biggo.com

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OpenAI is removing the ceiling on text-based conversations for all ChatGPT users, a move that marks a new phase in the AI arms race as the company simultaneously sharpens the performance of its most powerful model for paying subscribers.
The changes, announced Thursday, will see the default model for Free and Go plan users upgraded to GPT-5.6 Luna this week. Next week, those users will gain the ability to chat with the bot via text without hitting a rate limit. The company is also introducing a “Think” button that lets users of the free and lower-cost tiers instruct GPT-5.6 Luna to spend more time reasoning through complex questions.
For Plus and Pro subscribers, OpenAI is rolling out a refined version of GPT-5.6 Sol, its flagship model, optimized specifically for everyday interactions within ChatGPT. The update is designed to produce more focused answers, adapt the level of detail to the query, and avoid unnecessary formatting. A new reasoning slider will also let paying users control how much computational effort the model dedicates to a response, from quick answers to deep analysis for planning, writing, or coding.
“This is a concrete step toward more abundant intelligence: making our latest models more widely available, improving the usefulness and reliability of the answers people get, and letting free users keep text chats going without a rate limit,” OpenAI said in a statement. “Access shapes opportunity, and this update gives more people the ability to keep asking, develop an idea, and get help when they need it.”
While text interactions are now a free-for-all, OpenAI will maintain separate usage caps on more computationally intensive features. Uploading files, generating images, and using the advanced voice mode will still be subject to limits for Free and Go account holders.
The upgraded GPT-5.6 Sol is available to Plus and Pro users starting today. The company clarified that this revision applies only to the model used for standard ChatGPT conversations. The versions powering ChatGPT Work and Codex remain unchanged.
In internal evaluations, OpenAI reported significant gains in factual reliability. Responses containing at least one factual error were 68% less common with the new GPT-5.6 Sol compared to the older GPT-5.5 Instant, according to the company. For GPT-5.6 Luna, the reduction was 62%.
Pricing Pressure Mounts
The decision to lift text chat limits arrives amid intensifying competition, particularly from cheaper Chinese open-weight models that are putting pressure on Western AI labs to justify premium pricing. OpenAI recently slashed the cost of accessing its GPT-5.6 family of models, a move that came just three weeks after their debut.
The price cuts were steep for the lighter models. GPT-5.6 Luna, the speed-optimized version now serving free users, saw its price drop by 80%. Its input cost fell to $0.20 per million tokens from $1, while the output price dropped to $1.20 per million tokens from $6.
The mid-tier GPT-5.6 Terra saw input costs reduced to $2 per million tokens from $2.50, and output costs cut to $12 per million tokens from $15. Pricing for the top-end GPT-5.6 Sol remained unchanged at $5 per million input tokens and $30 per million output tokens.
Note: Prices reflect the latest reductions announced by OpenAI for the GPT-5.6 model family.
Historically, such price cuts have arrived months after a model’s launch, not weeks. The speed of the adjustment underscores the fierce battle to capture market share as the cost of inference—the computation required to run AI models—appears to be dropping faster than anticipated.
A recent report from The Information suggested OpenAI was nearing a breakthrough in reducing inference costs, which would explain the company’s ability to remove rate limits even for non-paying users. Rate limits are a direct reflection of those underlying costs, and eliminating them represents a significant milestone.
Ads and the Free Tier
The expansion of free access comes as OpenAI continues to test an advertising model within ChatGPT. Ads began appearing for Free and Go users in the US in February and have since expanded to markets including Australia, Canada, Japan, Korea, New Zealand, and the United Kingdom. Brazil and Mexico are listed as “Coming Soon.”
OpenAI maintains that advertisements do not influence the chatbot’s answers, as the ad system operates separately from the chat model. Ads are labeled as sponsored, visually separated from responses, and are barred from appearing near sensitive topics such as physical health, mental health, and politics. Political advertising is not permitted on ChatGPT at all.
Users who wish to avoid ads can upgrade to Plus or Pro plans, both of which remain ad-free. Free plan users in the US can also toggle off ads in their settings, though doing so reduces their message limit and disables certain features such as image generation and deep research.
Rivals are using the ad-free stance as a competitive wedge. Around a Super Bowl spot earlier this year, Anthropic committed to keeping its AI assistant Claude free of advertisements.
The Broader Context
The removal of text limits is particularly timely as Apple prepares to integrate AI-driven chat capabilities into the core experience of its operating systems with Siri AI in iOS 27 and macOS Golden Gate. By making text chat unlimited, OpenAI positions ChatGPT as a frictionless utility that can match—and potentially exceed—what platform-level assistants offer, especially as some heavy Siri AI usage is expected to require a paid iCloud+ account.
The update also reflects a broader industry trend: the focus is shifting from raw chat volume to the quality of reasoning and task execution. As pure text generation becomes commoditized enough to be offered freely, the value proposition for paid tiers increasingly hinges on advanced capabilities like multi-step planning, deep research, and agentic workflows.
“Free AI plans from frontier labs now offer more intelligence than most people will use, while enterprises are still figuring out how to budget for advanced capabilities,” industry observers noted, highlighting the growing divide between consumer-grade and enterprise-grade AI services.
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