AI Value Shift: Theo Ranks Models by Efficiency, Not Intelligence

The AI landscape is undergoing a significant shift in 2026, according to veteran developer Theo. Instead of focusing on which model is the smartest, he argues that the real battleground is value.

The economics of AI have inverted, and what was once considered cheap can now be prohibitively expensive due to its inefficiency. Google's Gemini 3.7 Flash, for example, looks affordable at $0.75 per million input tokens but burns through a whopping 73,000 tokens to complete basic tasks.

In contrast, OpenAI's 5.6 Sol costs more upfront at $30 per million output tokens but uses only 28,000 tokens to achieve near-maximum scores. Theo notes that the 5.6 Sol is 'a slightly dumber robot' that does exactly what you tell it, as opposed to Gemini, which he considers a 'genius that needs to be tamed.'

The top of the current hierarchy is defined by a qualitative leap in workflow, with Anthropic's Fable 5 and OpenAI's 5.6 Sol standing out from the rest. Fable 5 is considered the best model, but its high usage cost makes it unaffordable for many developers. The distinction between these top models and the mid-tier lies in their autonomy, with the elite tier able to handle implementation, verification, and other tasks autonomously.