Skip to content
Original
ModelsThe DecoderRelayed· Matthias Bastian·· 12 hours agoPicks

Google's Gemini 4 Argon is closer to the AI frontier than any Google model in months

Who
Google DeepMind
What
scored 97.5% on the ARC-AGI-3 benchmark using the Provider Adapter Harness

What happened

Google DeepMind’s Gemini 4 Argon scored 97.5 percent on ARC-AGI-3 using the Provider Adapter Harness at a cost of $4,800, behind GPT-6 Astra’s 99.9 percent. Its score fell to 49.8 percent at low reasoning in the Standard Harness, where API problems prevented completion of all games. Epoch AI placed Argon at 165 ECI points, close to Opus 5.5 and GPT-6 Astra, although early estimates ranked it eighth in math and sixth in software engineering.

Why it matters

The comparison shows how testing environments can change benchmark standings, providing context for interpreting Argon’s proximity to leading models alongside its weaker math and software engineering results.

The story so far

Google launched Gemini 4 Argon globally through paid developer services and subscriptions, with access expanding to Antigravity Pro users, Cursor and Perplexity. Sundar Pichai announced availability through the paid Gemini API and Gemini platform, for Pro and Ultra subscribers in the Gemini app and Search, and for Ultra subscribers in Antigravity. Baoyu reported that Antigravity added paid Pro subscribers through its desktop app, CLI and IDE extensions, with a separate weekly quota; that expansion excludes Antigravity IDE, Pro trials, free users and Plus subscribers. Perplexity announced access for Pro and Max subscribers, while CEO Aravind Srinivas said all Perplexity users could access Argon in fast search and Computer agent modes. API pricing is $2 per million input tokens and $10 per million output tokens through November 30, rising to $4 and $20 on December 1. Artificial Analysis found that Argon matched GPT-6 Astra on its Intelligence Index at 60% of Astra’s cost per task under introductory pricing. Epoch AI scored Argon at 165, tied with Fable 5.1 but behind Astra at 166 and Opus 5.5 at 167. The Decoder reported ARC-AGI-3 scores of 97.5% with the Provider Adapter Harness and 49.8% at low reasoning with the Standard Harness, where API problems prevented completion of all games. Google’s Gemini App account also said Argon can use Canvas to turn dense PDFs into interactive, animated web apps.

Keep reading

Latest daily · Issue 24NVIDIA and AI4Bharat Introduce Nemotron-pretraining-Indic-v1 and an Open Data Generation Pipeline

Trending now

  1. 1Meta Releases Muse Spark Open With Mac and Cloud Support, Topping US Open-Weight Index
  2. 3OpenAI Updates GPT-6 Astra Pro in ChatGPT With Parallel Agents and Faster Responses
  3. 4Meta’s New Business Terms Raise Dispute Over Website Crawling and AI Training Rights
  4. 5Reflection Releases Beam Open Weights Model With Launch-Day vLLM Support