Ordinal

Which model is worth using

1 Oct 2026

Google DeepMind

Gemini 4 Argon

Google's return to the frontier tier. Index 53 at high, introductory $2 / $10, and a 1M output claim. The catch is access.

Limited accessIntro price

Announced 30 Sep 2026 for trusted cyber defenders in Google's Fairwind program. Paid API and Google AI Ultra access were described as next, with no date. Not a general API model as of 1 Oct 2026.

53Index · High
$1.99Per measured task
26.6 pts/$Points / $
—Tokens / sec

What this workload costs

List price for one call. Reasoning tokens count as output. A cache hit uses the lab’s cache rate when one is published.

Gemini 4 Argon
Cache applied
$0.0601

Specs

API id
Not published here
Released
30 Sep 2026
Context
1M
Max output
1M
Input / 1M
$2.00
Output / 1M
$10.00
Cache read / 1M
$0.10
Knowledge
—
Inputs
Text
Weights
Closed

Introductory list price from Google's launch post. The post says this later becomes $4 input and $20 output, and does not say when. Cached input is 95% off during the intro. The 1M context is what Artificial Analysis lists. Google published a 1M output limit and had not posted a stable API model card on 1 Oct 2026. No public model id yet.

Google's launch post did not publish a stable modality list. This card counts text only.

Use it when

You are inside the Fairwind program, or you are planning for the week it opens. High effort matches GPT-6 Astra's max score at a lower measured task cost, and it leads the agent automation eval Artificial Analysis published with the launch.

Leave it when

Any architecture that needs a public model id today. Use Gemini 3.8 Flash, Sol, or Opus until Argon is generally available.

Other independent scores

  • Terminal-Bench 4.0: 57%. High reasoning. Behind Sonnet 5.5 (64%), Opus 5.5 (60%), and Astra (59%). Artificial Analysis, 30 Sep 2026.
  • AutomationBench-AA: 78%. High reasoning. The best score in that comparison. Artificial Analysis, 30 Sep 2026.

Sources