As of: 2026-11-15 00:33 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/v/ai-breaking-gemini-4-argon-arrives-1-in-13-out-of-19-official-b/

# [BREAKING] Gemini 4 Argon Arrives! #1 in 13 out of 19 Official Benchmarks, Google Strikes Back!

AI時短ラボ, 30 September 2026, YouTube. 44,330 views as of 30 October 2026.
Kind: Review.
Watch: https://www.youtube.com/watch?v=xW-rY0NhwHU

## Description (written by Gemini from the video)

**Summary**  
This Japanese explanatory video, presented by the synthesized Voicevox characters Zundamon and Shikoku Metan on the channel AI時短ラボ, breaks down Google DeepMind's official announcement of Gemini 4 Argon (published September 30, 2026). The presenters review the model's benchmark performance across knowledge work, coding, STEM, and cybersecurity, its 1-million-token output capability, pricing, internal Google deployments, and safety evaluations.

**What is shown**  
* [00:00] Title screen and overview introducing Gemini 4 Argon and its competition against GPT-6 Astra, Claude Fable 5.1, and Claude Opus 5.5.
* [00:17] Chapter 1: Details of the official Google DeepMind blog post by Koray Kavukcuoglu, rollout schedule, and the Fairwind cyber defense program.
* [01:23] Chapter 2: Pricing graphics showing input/output rates, prompt cache discounts, and the new 1-million-token output context window.
* [02:08] Chapter 3: Official comparison table for knowledge work benchmarks (Vals Index, AutomationBench, Vals Finance Agent v2, Harvey's Legal Agent Benchmark).
* [03:13] Chapter 4: Bar chart of DeepSWE v1.1 coding benchmark, followed by a comprehensive table showing FrontierSWE v2, Vibe Code Bench, Terminal-Bench 4.0, and PostTrainBench.
* [04:34] Chapter 5: Benchmark tables covering science/math (Terminal-Bench Science Q3, LABBench 2, RiemannBench), long-context GraphWalks, computer use (Agent's Last Exam, OSWorld 2.0), multimodal comprehension (Chartography, LVBench), and cybersecurity.
* [05:42] Chapter 6: Discussion of four internal deployment use cases inside Google (quantum computing optimization, datacenter memory reclamation, C/C++ to Rust migration, and video decoder acceleration).
* [06:50] Chapter 7: Cybersecurity bar charts comparing Argon against Gemini 3.8 Flash Cyber on Real-world Vulnerability Discovery and Wiz Penetration Test Benchmark, as well as the CWE-bench v1 leaderboard.
* [08:22] Chapter 8: Gray Swan IPI benchmark chart assessing susceptibility to prompt injection attacks across frontier models, and explanations of Google's four safety measures.
* [09:50] Chapter 9: Full summary comparison table compiling all 19 official benchmark metrics.

**Claims & numbers**  
* The presenters say the announcement was published on Google's official blog at 5:00 AM JST on September 30, 2026, authored by Google DeepMind's Koray Kavukcuoglu [00:19].
* Initial access is restricted to vetted cyber defenders via the "Fairwind" program under U.S. government pre-deployment testing frameworks; wider release will follow for paid API users and Google AI Ultra subscribers [00:45, 01:10].
* The presenter states introductory pricing is $2.00 per 1M input tokens and $10.00 per 1M output tokens (with a 95% discount for cached inputs), rising to $4.00 input and $20.00 output after the introductory period [01:26].
* Maximum output limit is expanded from 64,000 tokens to 1,000,000 tokens [01:48].
* Knowledge work scores stated:
  * Vals Index: Gemini 4 Argon 68.9%, GPT-6 Astra 63.1%, Claude Opus 5.5 67.0%, Claude Fable 5.1 65.8% [02:26].
  * Zapier AutomationBench: Argon 51.3%, Opus 5.5 42.5%, Astra 41.4%, Fable 5.1 31.4% [02:30].
  * Vals Finance Agent v2: Argon 65.4%, Astra 53.5%, Fable 5.1 58.9%, Opus 5.5 58.6% [02:46].
  * Harvey's Legal Agent Benchmark: Argon 19.6%, Astra 5.4%, Fable 5.1 6.7%, Opus 5.5 3.8% [02:54].
* Coding scores stated:
  * DeepSWE v1.1: Argon 77.9%, Opus 5.5 74.2%, Astra 74.1%, Fable 5.1 67.4% [03:20].
  * FrontierSWE v2: Astra 65.5%, Opus 5.5 62.3%, Fable 5.1 56.3%, Argon 55.0% (Argon ranked 4th) [03:47].
  * Terminal-Bench 4.0: Opus 5.5 66.4%, Astra 58.2%, Fable 5.1 57.9%, Argon 57.4% [03:57].
  * PostTrainBench: Opus 5.5 49.3%, Argon 45.3%, Astra 44.3%, Fable 5.1 40.2% [04:08].
  * Vibe Code Bench: Argon 91.9%, Opus 5.5 90.3%, Fable 5.1 90.3%, Astra 89.6% [04:23].
* Science, context, and multimodal scores stated:
  * Terminal-Bench Science Q3: Astra 68.1%, Argon 57.6% [04:40].
  * LABBench 2: Argon 88.8%, Astra 85.4% [04:51].
  * RiemannBench: Argon 76.0%, Astra 72.0% [04:54].
  * GraphWalks (256k to 1M tokens): Argon 84.2%, Astra 71.8%, Opus 5.5 66.8%, Fable 5.1 65.0% [05:01].
  * Agent's Last Exam: Argon 39.5%, Astra 34.2% [05:16].
  * OSWorld 2.0: Astra 72.6%, Argon 69.2% [05:22].
  * LVBench (long video): Argon 91.7%, Astra 87.5% [05:29].
  * Chartography: Argon 71.6%, Astra 71.0% [05:34].
* Internal Google use claims:
  * Quantum computing: solved component optimization in minutes, surpassing published benchmarks by 40% [05:52].
  * Datacenter memory: automated agent freed over 300 TiB, projecting 500 TiB to 1 PiB total memory savings across datacenters [06:01].
  * Code migration: translated C/C++ repositories exceeding 800,000 lines into Rust [06:21].
  * Video decoding: rewrote a 32,000-line decoder, delivering 2.7x faster performance than prior Rust code with identical output [06:37].
* Cybersecurity claims:
  * Real-world Vulnerability Discovery (across 20 languages): Argon scored 85.8% vs. 71.0% for Gemini 3.8 Flash Cyber [07:11].
  * Wiz penetration testing benchmark: Argon achieved 70.9% vs. 58.2% for Gemini 3.8 Flash Cyber [07:22].
  * CWE-bench v1: Argon tied for #1 at 68% with Grok 4.7 and GPT-6 Astra, followed by Opus 5.5 at 67% [07:34].
  * Wiz used Argon to identify a critical medical records data-leak vulnerability in widespread hospital software [08:10].
* Safety and prompt injection claims:
  * Gray Swan IPI (15-attack success rate): Argon had the lowest attack success rate at 0.7%, followed by Opus 5.5 (1.0%), Fable 5.1 (1.0%), Astra (8.5%), and GPT-6 Sol (10.1%) [08:55].
* Overall benchmark record stated: Argon ranked #1 in 13 out of 19 reported categories alone, and tied for #1 in 1 category (14 total), while Astra won 3 and Opus 5.5 won 2 [09:54].

**Notable quotes**  
* [00:00] "ついにGemini 4が来たのだ！！名前はArgon。" (Gemini 4 is finally here!! Its name is Argon.)
* [01:46] "もう1つの大きな変化が、出力の上限なのだ。前の6万4千トークンから、100万トークンに広げたのだ。" (Another major change is the output ceiling. It expanded from the previous 64,000 tokens to 1,000,000 tokens.)
* [09:52] "Gemini 4 Argonは、比較表の19項目のうち13項目で単独の1位、1項目で同率の1位なのだ。" (Out of 19 items on the comparison table, Gemini 4 Argon took sole first place in 13 items and tied for first place in 1 item.)

**Assessment**  
This is a third-party news analysis and benchmark review summarizing Google DeepMind's official launch blog post using Voicevox character avatars. The video does not show hands-on live prompts, instead faithfully reviewing and critiquing the official graphs, benchmark tables, and claims released by Google.

_Described by gemini-3.8-flash on 2026-10-01 from the video's audio and frames._

## How AI was used to make it

AI made a small part of this video (Voice).
- Voicevox text-to-speech synthesis for Zundamon and Shikoku Metan character narration
Tools: Voicevox
(Classified by gemini-3.8-flash from our description; high confidence. Overview: https://postcutoff.com/ai-video/)

## Related

- 2026-09-30: [Google announces Gemini 4 Argon, its new frontier model, first released only to cyber defenders via the Fairwind Program](https://postcutoff.com/e/2026-09-30-gemini-4-argon/)

## More videos on this

- 2026-10-16: [Gemini 4 Argon destroyed me. I'm done.](https://postcutoff.com/v/gothamchess-gemini-4-argon-destroyed-me/), GothamChess, YouTube, review, 1,033,514 views as of 13 November 2026.
- 2026-10-04: [Gemini 4, GPT 6.1, Dots, Claude Sonnet 5.5, Ideogram 4.5, Flux 3: AI NEWS](https://postcutoff.com/v/ai-search-gemini-4-gpt-6-1-dots-claude-sonnet-5-5-ai-news/), AI Search, YouTube, review, 373,606 views as of 31 October 2026.
- 2026-10-01: [Gemini 4 Argon explained in 5min..](https://postcutoff.com/v/caleb-writes-code-gemini-4-argon-explained-in-5min/), Caleb Writes Code, YouTube, review, 354,093 views as of 29 October 2026.
- 2026-10-14: [So I've been testing Gemini 4...](https://postcutoff.com/v/theo-so-ive-been-testing-gemini-4/), Theo - t3.gg, YouTube, review, 284,538 views as of 12 November 2026.

What else happened that month, day by day: https://postcutoff.com/timeline/2026/09/

## People in it

- [Koray Kavukcuoglu](https://postcutoff.com/person/koray-kavukcuoglu/), SVP running Google DeepMind; Chief AI Architect, Google