Four DeepMind agents wrote 2,783 programs and died 605 times before killing Minecraft's final boss
The agents played by writing code rather than pressing keys, and coordinated through in-game chat and a shared memory with no assigned roles.
Model
Gemini 4 Argon is an artificial intelligence model developed by Google DeepMind. This page lists what is publicly known about the model and every benchmark result Aivio News has recorded for it, each with its own source and date.
No verified results recorded yet.
Four DeepMind agents wrote 2,783 programs and died 605 times before killing Minecraft's final boss
The agents played by writing code rather than pressing keys, and coordinated through in-game chat and a shared memory with no assigned roles.
Argon controls robots, builds the simulations they practise in and grades their training data. Google scores it at 87% on an embodied reasoning benchmark; Artificial Analysis ranks it behind two OpenAI models.
The report names three capability thresholds it cannot rule out, says the model was 'highly eval-aware' throughout testing — and finds no sign that AI is accelerating AI research.
Thirteen days after a limited release to vetted cyber defenders, Argon is available to anyone with a paid API key. An independent index puts it eighth, level with GPT-6 Astra.
The institute has been given Google's unreleased Gemini 4 Argon. Anthropic's Mythos model went to American organisations and not to the British testers.
Arena published an index built from 72,509 real agent sessions on the same day it announced a $200m round. OpenAI holds the first five places.
Thomas Kurian's keynote replaced a spread of enterprise AI products with a single agent: one prompt box, one API, and a router that reaches outside Google's own model family.
Argon writes up to a million output tokens and costs $2 and $10 per million during an introductory period. Google says it found a critical flaw in hospital software that earlier frontier models missed.
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