3-Line TL;DR

  • Gemini 4 Argon matches Astra on AA's AI performance index and has appealing launch prices
  • Earlier Antigravity frustrations and Gemini 3 fixes that felt slow still make me hesitate
  • Once my account has access, I would try one month and hold off on annual payment

The performance is worth a try

  • My earlier Gemini 4 post covered rumors; the September 30 announcement brought official results and prices
  • In Artificial Analysis's AI performance test, Argon High and Astra Max both scored 53 (AA evaluation)
Google's tests Argon Astra Opus 5.5
Extended coding — DeepSWE v1.1 77.9% 74.1% 74.2%
Business task execution — AutomationBench 51.3% 41.4% 42.5%
Command-line tasks — Terminal-bench 4.0 57.4% 58.2% 66.4%

Three Google tests compare Argon, Astra and Opus on coding, business tasks and command-line work

Source: Google DeepMind — Google's published tests, separate from AA; chart by HSL

  • Argon leads two of these tests, while Opus leads command-line work
  • The coding and automation results make me want to try it on my own work

The low price depends on a launch discount

  • These are developer API charges, separate from a monthly subscription
Argon API pricing Input per 1M tokens Output per 1M tokens
Launch discount $2 $10
After the discount $4 $20

Source: Google — the discount's end date is unspecified

  • In AA's test, Argon cost $1.99 per task at the discount price, versus $3.26 for Astra Max
  • At regular prices, the same Argon usage would cost $3.98 and exceed Astra's cost in that test

AA task costs compare discounted Argon at $1.99, Astra at $3.26 and Argon repriced at $3.98

Source: Artificial Analysis — its test workload; $3.98 applies regular prices to the same usage, rather than a new test

Antigravity is why I would wait on annual payment

  • In my coding-tool comparison, Antigravity felt fast and good value but less finished overall
  • The 2.0 app I used lacked multilingual support and the remote-server workflow I wanted
  • Gemini 3 fixes also felt slow to me
  • A February 23, 2026 report of repeated Gemini 3.1 output received a same-day staff escalation (Google forum)
  • Another user reported similar problems on March 25, though the thread does not establish a shared cause or the exact fix date
  • Improvements have continued: the July 13 changelog includes overload retries and hang fixes (Official changelog)
  • I want a tool that works comfortably every day, as well as a model with good scores

When can ordinary users try it?

Access stage Announced plan
Initial access Selected cyber defenders through Fairwind and trusted testers
Next Paid API customers and Google AI Ultra subscribers first
Broader access, including Pro and free accounts No confirmed date announced

Source: Google's rollout plan — checked October 1, 2026

  • Ultra-first access does not mean Pro is permanently excluded
  • Before paying, I would check that my account has Argon and that the price and limits suit my work (Plan guide)
  • Model access and limits vary by plan, and limits can change with server capacity
  • A month sounds worth trying; a full year is more trust than I have yet

Community Reactions

  • The launch thread includes excitement about the scores and requests to see real results after public access (Reddit)
  • Pro users worry about Ultra getting access first, while replies caution that this does not mean permanent exclusion (Reddit)
  • An older Antigravity thread has both error complaints and successful web-app reports, rather than evidence of today's reliability (Reddit)

Q&A (Field Notes)

  • Q. Do these API prices tell me what a subscription costs?
    • No, check the actual monthly fee and included limits separately
  • Q. Have I tried Argon?
    • No, the performance figures come from published tests, and my experience concerns earlier Antigravity versions
  • Q. What would I check during a one-month trial?
    • Use the same tasks as my current tools and compare results, retries, quota use and recovery after an interruption