Is this the Start of AGI? | Gemini 4 Argon review!

Summary
Indian developer and educator CodeWithHarry (Haris Khan) reviews Google DeepMind’s flagship model, Gemini 4 Argon, which he tested via early access through the Gemini app and Google Antigravity IDE. He examines its 1-million-token output capability and SWE benchmarks, demos multiple complex web apps and games generated from scratch, and tests its ability to autonomously edit raw YouTube video footage.

What is shown

• Overview & Benchmarks [00:13 - 03:00]: Discussion of Gemini 4 Argon’s specs, highlighting its 1,000,000 single-shot output token limit and 77.9% score on the DeepSWE benchmark, followed by a discussion of Epoch research on benchmark contamination and Yann LeCun’s critique of compounding errors in autoregressive generation [05:22 - 06:05].
• Antigravity IDE Demonstrations [06:16 - 11:53]:
  • Generation of a playable 3D GTA-style browser game with vehicle driving, NPC interactions, and audio [06:48 - 07:42].
  • Creation of a clone of the CodeWithHarry learning platform [07:43 - 08:03].
  • Creation of “StreamTube,” a full-stack YouTube clone featuring video playback, channel switching, creator dashboard, and search [08:04 - 08:39].
  • Creation of a Chess.com clone with embedded Stockfish analysis [08:40 - 09:10].
  • Interactive educational tools: “Synapse Foundry” for neural network backpropagation/weight visualization [09:11 - 09:36] and “DSA Quest” gamified data structures platform [09:37 - 09:53].
  • Generation of “LumaCut,” a browser-based photo editor with cropping, exposure controls, and upscaling [10:29 - 11:02].
  • Generation of a complex browser-based Premiere Pro video editor clone [11:03 - 11:47].
• Autonomous Video Editing Run [12:35 - 14:27]: Prompting Gemini 4 Argon to ingest raw camera footage, cut silences, generate lower-thirds, inject B-roll, create chapters/timestamps, and render an edited YouTube cut.
• Philosophy & Developer Future [15:33 - 17:35]: Analogy between walking vs. driving trucks to illustrate how developers must learn to leverage AI agents while keeping strong core computer science fundamentals.

Claims & numbers

• Gemini 4 Argon supports up to 1,000,000 output tokens in a single generation shot, compared to 128,000 tokens in GPT-6.1 Sol and Claude Fable 5.1, and ~65,000 tokens in Gemini 3.1 (presenter’s comparison charts [01:23, 01:33 - 01:43]).
• Gemini 4 Argon scored 77.9% on the DeepSWE coding benchmark, leading on paper over Claude Fable 5.1 (72.4%), GPT-6.1 Sol (71.8%), and Gemini 3.1 Pro (63.5%) [02:36].
• The presenter states that an Epoch research paper identified flaws in 23 tasks of the DeepSWE benchmark and noted that all 113 benchmark tasks and solutions had been released publicly in May, raising risks of contamination [02:53 - 03:07].
• The presenter cites Yann LeCun’s critique that a 99% per-step accuracy drops to approximately 37% over 100 sequential autoregressive steps ($0.99^{100} \approx 36.6%$) [05:53 - 06:05].
• Generation runtimes cited in Antigravity: GTA 3D concept game (20 min), Premiere Pro web clone (24 min), photo editor (8 min), video production assets (16 min), DSA game (14 min), neural net visualizer (12 min), Chess clone (17 min), YouTube clone (13 min), CodeWithHarry clone (27 min), and full autonomous video editing pipeline (~30 min total) [12:09 - 12:33, 15:20].
• Introductory API pricing is stated as $2.00 per 1M input tokens and $10.00 per 1M output tokens, with a 95% discount on cached tokens, doubling to standard rates ($4 / $20 per 1M tokens) after the introductory promotional period [18:47, 19:19].

Notable quotes

• “Is this the end of developers and start of AGI?” [00:13]
• “Gemini 4 Argon ke andar 1 million output tokens dene ki kshamta hai.” (“Gemini 4 Argon has the capability to produce 1 million output tokens.”) [01:18]
• “Trucks didn’t replace humans — humans drive the trucks! ... Bilkul usi tarah, aap logon ko AI use karna seekhna hoga.” (“In the exact same way, you will have to learn how to use AI.”) [16:04]

Assessment
This is a hands-on technical review and live demonstration by a developer testing Gemini 4 Argon via early access in the Google Antigravity environment. The generated full-stack web applications, interactive games, and automated video editing cut-sheet outputs are demonstrated working in real-time, accompanied by realistic critique regarding benchmark contamination and autoregressive degradation over long horizons.

Described by gemini-3.8-flash on 2026-10-13 from the video’s audio and frames.