Humanity has used Pokemon to benchmark the latest AI models. Yes, really.
In a blog post published Monday, Anthropic said it had tested its latest model, the Claude 3.7 Sonnet, with Game Boy Classic Pokémon Red. The company equips the model with basic memory, screen pixel input, and function calls to press buttons, allowing it to navigate around the screen and play Pokemon continuously.
A unique feature of Claude 3.7 Sonnet is its ability to engage in “extended thinking.” Like Openai’s O3-Mini and Deepseek’s R1, Claude 3.7 Sonnet can “infer” through challenging problems by applying more computing and spending more time.
It was obviously convenient in Pokemon Red.
Compared to the previous version of Claude 3.0 sonnet, Claude 3.7 sonnet, unable to leave the house in Palette Town, where the story begins, fought against three Pokemon Gym leaders and won a badge.
Currently, it is not clear how much computing it takes for Claude 3.7 sonnets to reach those milestones, and how long each took. Humanity only said that the model took 35,000 actions to reach the last gym leader, the Surge.
Until some enterprising developers are found, that’s definitely not the case.
Pokemon Red is the benchmark for toys above all else. However, there is a long history of games used for AI benchmark purposes. In the past few months alone, many new apps and platforms have emerged to test the model’s gameplay abilities in titles ranging from Street Fighter to Pictory.
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