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DeepMind releases Gemini 4 Argon robotics model with 87 percent ERQA

10/23/2026 — 10/24, 07:22·1 sources (all)·1 reports (all)

Key takeaways

  • DeepMind has released Gemini 4 Argon, a robotics model the company says scores 87 percent on the ERQA benchmark using pure reasoning, ahead…

Background & analysis

According to an article that recounts an official blog post, on October 23, 2026, DeepMind released the robotics model Gemini 4 Argon. The company states that the model scores 87% on the ERQA benchmark using pure reasoning alone, claiming this result exceeds that of all other frontier models. However, the source does not provide the scores of other models under the same test conditions, so while the 87% figure itself stands, the ordering claim of having surpassed them cannot be verified and should be recorded as the company's unilateral statement. The full name of ERQA is not given in the source.

The blog post discloses the coordinate conventions of the robotic arm's vision system, including that the wrist camera is calibrated with a projected world-coordinate grid spacing of 2 cm, and the grid spacing in the visual coordinate reference is likewise 2 cm, corresponding to the world-coordinate X and Y values marked as yellow digits. These two descriptions corroborate each other, indicating that this is a unified calibration unit within the system rather than an isolated setting in one step. Pose for grasping and placing is differentiated by pitch angle into two modes: a pitch angle of 90 degrees corresponds to vertical, top-down grasping or placing, while a pitch angle below 60 degrees corresponds to a tilted coaxial approach along the finger axis. The source does not explain how the intermediate range between 60 and 90 degrees is handled. The criteria for a successful grasp are that the thumb and fingers form a force closure, the object is lifted cleanly to a height above 2 cm, and the final placement is stable.

For joint commands generated by offline planning, execution of each command must stay within 0.55 radians for the arm joints and 0.65 radians for the hand joints, without deviating too far from the recorded teleop trajectory. The source does not explain how these two values were calibrated. At present, all of this information comes from a single article recounting the official blog post.

AI-generated from 1 reports · updated 5 hours ago

Latest turnDeepMind has released Gemini 4 Argon, a robotics model that its blog says scores 87% on the ERQA benchmark using pure reasoning alone, beating all frontier models. The write-up notes that no scores for competing models under the same test conditions were provided, so the ranking claim cannot be verified. The blog does disclose reproducible details, including a 2 cm world-coordinate grid from the wrist camera, 90-degree and 60-degree grasp pitch thresholds, and joint deviation limits of 0.55 and 0.65 radians.

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  1. DeepMind has released Gemini 4 Argon, a robotics model that its blog says scores 87% on the ERQA benchmark using pure reasoning alone, beating all frontier models. The write-up notes that no scores for competing models under the same test conditions were provided, so the ranking claim cannot be verified. The blog does disclose reproducible details, including a 2 cm world-coordinate grid from the wrist camera, 90-degree and 60-degree grasp pitch thresholds, and joint deviation limits of 0.55 and 0.65 radians.

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