News

Google Launches Gemini 4 Argon Flagship Model (October 13, 2026)

On October 13, 2026, Google released flagship model Gemini 4 Argon globally; introductory API pricing: $2/million input tokens, $10/million output tokens, 95% off cached input.

One-line summary

On October 13, 2026, Google (Google DeepMind) released its flagship model Gemini 4 Argon to developers and enterprises worldwide, with introductory API pricing of $2 per million input tokens and $10 per million output tokens, and 95% off for cached input tokens, valid until November 30, 2026.

Event Overview ​

On October 13, 2026, Google announced the global availability of its flagship model Gemini 4 Argon in an official blog post signed by Koray Kavukcuoglu, SVP at Google DeepMind and Chief AI Architect at Google. The model targets complex, multi-step tasks in coding, finance, legal, cybersecurity and science, and ranks first on the Vals Index among other benchmarks, according to Google.

Key Information ​

ItemDetail
Release dateOctober 13, 2026
PublisherGoogle (Google DeepMind)
AvailabilityAI Studio, Gemini platform API, Google Antigravity (AI Ultra subscribers), Gemini app and AI Mode in Search (AI Ultra/Pro subscribers)
Introductory API pricing$2 per million input tokens, $10 per million output tokens
Caching pricingCached input tokens at 95% off the input price
Offer endNovember 30, 2026 (then $4 input / $20 output per million tokens)
Benchmark results#1 on Vals Index; 87% on Embodied Reasoning (ERQA) benchmark
Internal usageAgentic code submissions up more than 35%, code rollbacks down by nearly a third

Google disclosed real-world results from Argon in internal and early customer use: helping the Chrome team refactor ~6 million lines of legacy browser feature code within Chromium's ~40 million-line codebase; accelerating Gemma 4 E2B end-to-end inference throughput on an A100 from ~37,900 to over 108,000 tokens per second (2.85x); and leading the Embodied Reasoning benchmark with an 87% score, including seven consecutive real-world cornhole tosses on the Apptronik Apollo humanoid via a video-to-sim-to-real pipeline.

Official Sources ​