OpenAI's GPT-5 and the Closed Router
- Aki Kakko

- Aug 21
- 3 min read
With the launch of GPT-5, OpenAI has officially ushered in the era of multi-model artificial intelligence. The new flagship AI is not a single, monolithic entity but a unified system that intelligently routes user queries to different specialized models. This "mixture of models" approach is a significant technological leap, validating the idea that the future of AI lies in a network of specialized systems. However, the implementation of a proprietary "model router" raises critical questions about competition, user choice, and the future landscape of AI development. OpenAI's GPT-5 represents a fundamental shift away from the one-size-fits-all model of its predecessors. It is designed to "think deeply" when necessary and respond quickly for simpler tasks, thanks to a real-time router that decides which internal model is best suited for a given query.
This architecture is an admission that a diverse ecosystem of models, each with its own strengths, is more effective than a single, massive AI. This move towards specialization and modularization mirrors the design of other complex intelligent systems, including the human brain.

The Power of Specialization: A Multi-Model Reality
The advantages of a multi-model system, as implemented in GPT-5, are clear. By dynamically allocating resources, it can offer a more efficient and cost-effective user experience. A simple question might be handled by a smaller, faster model, while a complex coding problem could be routed to a more powerful, reasoning-focused model. This approach allows for a "best-of-breed" selection within OpenAI's own suite of models, aiming to provide the optimal response for each specific task. The system has demonstrated state-of-the-art performance in a range of areas, including math, coding, and health.
The Walls of the Garden: The Peril of a Closed Router
While the internal routing of GPT-5 is a technical achievement, its closed nature presents a significant challenge to the broader AI ecosystem. The router, as it stands, is a "black box," exclusively directing users to OpenAI's own models. This creates a "walled garden," where users are limited to the options provided by a single company, regardless of whether a competitor's model might be more accurate, faster, or more cost-effective for a particular task. The broader AI landscape is rich and diverse, with companies like Anthropic, Google, and a vibrant open-source community often producing models that excel in specific niches. A closed router, by its very design, prevents users from accessing these potentially superior alternatives. The launch of GPT-5 has not been without its challenges, with some users expressing frustration and requesting the option to use its predecessor, GPT-4o. This early feedback highlights the importance of user choice and the potential pitfalls of a system that limits control.
The Case for an Open and Interoperable AI Ecosystem
The alternative to this closed system is an open and interoperable AI ecosystem. A vendor-agnostic router could direct queries to the best-suited model from any provider, fostering a more competitive and innovative market. Such an approach would empower users and developers to select the best tools for their needs, free from the constraints of a single-provider's offerings. An open ecosystem would also promote greater transparency and accountability. When users have a choice of models, they can directly compare performance, pricing, and ethical considerations, driving all providers to improve their technology. This stands in stark contrast to the opaque nature of closed systems, where the decision-making process of the router remains hidden from the user. The arrival of GPT-5 has confirmed that the future of AI is a multi-model one.
The question now is whether that future will be defined by the closed, proprietary systems of a few dominant players, or by an open, collaborative, and interoperable ecosystem that benefits all. To realize the full potential of this new era of artificial intelligence, the path forward must be one that prioritizes open standards and genuine choice for all users.




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