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Gemini 4 Argon reaches GA, matching GPT-6 Astra on Artificial Analysis Intelligence Index
- Who
- Artificial Analysis
- What
- publishes evaluation results Gemini 4 Argon's Intelligence Index ranking and cost per task
What happened
Artificial Analysis reports that Gemini 4 Argon is now GA, matching GPT-6 Astra on its Intelligence Index at 60% of the Cost per Task under discounted pricing until November 30. Argon costs $1.99 per task and $2/$10 per 1M input/output tokens, rising to $4/$20 after November 30, with a 95% cache-read discount. Artificial Analysis also reports substantial agentic evaluation improvements and a 15% hallucination rate on AA-Omniscience, the lowest among models scoring 45+ on its Intelligence Index.
Why it matters
The comparison separates intelligence scores from task costs, showing how Argon's temporary pricing affects its cost advantage over GPT-6 Astra at a comparable intelligence level.
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.
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