OpenAI Reverses Course: ChatGPT Ditches Controversial Model Router for Free Users
OpenAI has rolled back its automated 'model router' feature for ChatGPT's free and $5 Go tier users, defaulting them to the faster GPT-5.2 Instant model instead. The router, launched just four months ago to intelligently direct complex queries to more advanced 'reasoning' AI models, faced significant user backlash and reportedly hurt daily active user metrics. This strategic reversal comes as OpenAI scrambles to improve ChatGPT amid intensifying competition from Google Gemini and flattening user growth, highlighting the ongoing challenge of balancing AI performance with user experience and operational costs in consumer-facing products.
In a significant strategic reversal, OpenAI has quietly removed a key feature from its free ChatGPT service that contributed to widespread user dissatisfaction last summer. The company announced on a low-profile product blog that it has rolled back ChatGPT's 'model router'—an automated system designed to send complex user questions to more advanced AI models—for users on its Free and $5-a-month Go tiers. Instead, these users will now default to GPT-5.2 Instant, the fastest and cheapest-to-serve version of OpenAI's latest model series.

The Rise and Fall of the Model Router
The model router launched just four months ago as part of OpenAI's push to unify the user experience with the debut of GPT-5. The feature analyzed user questions before choosing whether ChatGPT should answer them with a fast-responding, cost-effective AI model or a slower, more expensive 'reasoning' AI model. Ideally, the router was supposed to direct users to OpenAI's smartest AI models exactly when they needed them, replacing what CEO Sam Altman called a confusing 'model picker' menu that the company hated 'as much as you do.'
In practice, however, the router seemed to send many more free users to OpenAI's advanced reasoning models, which are significantly more expensive for the company to operate. Shortly after its launch, Altman revealed that the router increased usage of reasoning models among free users from less than 1 percent to 7 percent. While this represented a costly bet aimed at improving ChatGPT's answer quality, the model router failed to gain the traction OpenAI anticipated.
User Experience and Competitive Pressures
According to sources familiar with the matter, the router negatively affected OpenAI's daily active users metric. While reasoning models represent the frontier of AI performance, they can spend minutes working through complex questions at significantly higher computational cost. Most consumers prefer faster responses, even if it means receiving slightly less sophisticated answers.

This change comes as OpenAI scrambles to shore up ChatGPT amid intensifying competition, particularly from Google. Last month, Altman announced a company-wide 'code red' to marshal resources around improving its core consumer product. While ChatGPT remains a juggernaut with more than 800 million weekly active users, third-party data suggests competitive pressure is mounting. According to audience-tracking firm Similarweb, Google Gemini has grown significantly in recent months while ChatGPT's growth has flattened, with average visit duration on ChatGPT falling below Gemini since September.
Strategic Implications and Future Directions
An OpenAI spokesperson stated that the company determined, based on user feedback, that Free and Go users preferred staying in the default chat experience, with the option to manually select a reasoning model when needed. The company declined to specify which user signals informed this decision but noted that its Instant models can now take more time to answer questions, narrowing the performance gap for most users.
The model router still exists for ChatGPT's paid subscribers, including its $20-a-month Plus and $200-a-month Pro tiers, signaling that OpenAI remains committed to the concept in premium offerings. Industry experts like Robert Nishihara, cofounder of AI platform Anyscale, expect model routers to persist long-term despite current imperfections, noting that 'using different models and amounts of computational power is appropriate for different problems.'
Broader Industry Context
This episode illustrates how leading technology companies continue to experiment with the optimal integration of powerful AI models into mass-market consumer products. The initial backlash against the model router was so strong that OpenAI reinstated the model picker and some older AI models within a week of the feature's launch, while keeping the router as the default in a newly branded 'Auto' mode.
The reversal also reflects the delicate balance between performance and safety considerations. OpenAI previously used the model router to direct sensitive queries about mental health emergencies to reasoning models deemed better equipped to handle users in distress. The company now states that GPT-5.2 Instant's improved performance on safety benchmarks allows it to handle these conversations effectively without specialized routing.
Conclusion: Lessons for AI Product Development
OpenAI's decision to remove the model router from its free ChatGPT tiers represents a pragmatic response to user preferences and competitive realities. The episode underscores several key lessons for AI product development: user experience often trumps raw technical capability in consumer applications, operational costs must align with business models, and even well-intentioned features can backfire if they disrupt established user workflows.
As the AI chatbot wars intensify, companies must navigate the complex interplay between technological advancement, user satisfaction, and economic sustainability. OpenAI's willingness to reverse course on a recently launched feature demonstrates adaptive product strategy, though the company will likely relaunch an improved model router for free users once technical refinements address the current limitations. For now, ChatGPT's free tier returns to a simpler, faster experience that prioritizes responsiveness over automated model selection.




