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Models CONFIRMED

Gemini 4 Argon lands at fifth place with a $2/$10 price

The Die Brief Desk, after @EpochAIResearch

The $2/$10 price is the actionable constraint in the Gemini 4 Argon dossier. The Epoch Capabilities Index score is 165, and the model ranks fifth of 260.

Across the 25 public games of ARC-AGI-3, Gemini 4 Argon (yellow) and GPT-6 Astra (blue) both needed 62 percent fewer actions than the human baseline (purple) and often came close t
Across the 25 public games of ARC-AGI-3, Gemini 4 Argon (yellow) and GPT-6 Astra (blue) both needed 62 percent fewer actions than the human baseline (purple) and often came close t
Gemini 4 Argon
ECI score165
ECI rank#5 of 260
Release dateSep. 30, 2026
WeightsClosed weights
Input price$2 / 1M tokens
Output price$10 / 1M tokens

Closed weights and a September 30, 2026 release appear on the Epoch page. The page lists $2/$10 per million input/output tokens.

Across the 25 public games in ARC-AGI-3, Gemini 4 Argon (yellow) and GPT-6 Astra (blue) both required 62 percent fewer actions than the human baseline (purple) and often came close
Across the 25 public games in ARC-AGI-3, Gemini 4 Argon (yellow) and GPT-6 Astra (blue) both required 62 percent fewer actions than the human baseline (purple) and often came close

The 165 score is a composite, not a proof of frontier behavior.

With an ECI score of 165 points, Google is closer to the current AI frontier led by GPT-6 Astra (166) and Opus 5.5 (167) than it has been since Gemini 3.1 Pro in February 2026. | I
With an ECI score of 165 points, Google is closer to the current AI frontier led by GPT-6 Astra (166) and Opus 5.5 (167) than it has been since Gemini 3.1 Pro in February 2026. | I

It places Google's model near the top of the tracked set, but it does not show whether latency, tool use, or safety controls hold outside the benchmark harness.

The dossier has no ARC-AGI-3 score, parameter count, context length, or training compute. The gaps leave the buyer with a price and a rank, not a capability map.

Picture posted by @arcprize
Picture posted by @arcprize

The procurement question stays open until the missing figures are measured.

The price is the actionable constraint, and the rank is a positioning number.

After @EpochAIResearch. We did not report this. The pictures, if any, are theirs.

October 16, 2026 · 1 min
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