gemini 4 should at least start rolling out to ultra users next week but i'm still worried about the ultra-first strategy. interestingly, google sold large portions of its TPU capacity to other providers and may now even be struggling to meet its own training and inference needs two competing business priorities...

Gemini 4 Argon by @GoogleDeepMind just went head-to-head with top frontier models across a set of generations. At 33% lower cost per task than GPT-6.1 Sol, and 70% lower than Claude Opus 5.5, see first impressions from @petergostev on how Gemini 4 Argon compares.

Gemini 4 Argon ranks #1# on AutomationBench-AA at 77.5%, 6 points ahead of Claude Sonnet 5.5 (max, 71.3%). On Terminal Bench 4, Gemini 4 Argon achieves 57%, a + 53 point improvement from Gemini 3.1 Pro Preview, only behind Claude Sonnet 5.5 (max, 64%), Claude Opus 5.5 (max, 60%) and GPT-6 Astra (59%)

Gemini 4 Argon’s standard pricing is $4/$20 per 1M input/output tokens, with a 95% discount for cached input tokens. Compared to Gemini 3.1 Pro Preview, this is an increase in token cost, and a larger discount on cached input. At standard pricing, Gemini 4 Argon’s Cost per Task is $3.98, ~1.2x that of GPT-6 Astra ($3.26, max). At discounted pricing however, the Cost per Task is $1.99, making it a 40% reduction from GPT-6 Astra (max)

Gemini 4 Argon, our new frontier model. Up to 1M output tokens, up from 64K. $2 in / $10 out at launch. In testing with trusted partners. Developer access as soon as possible. 👇🏻

Gemini 4 Pro guys!! I'm blown away by the quality and details here.. A new checkpoint of it is being tested in Arena under the name "gemini-3.8-flash" Gemini is back in the game nd i can now see why google is so confident as to release an early preview version of it!