{
  "id": 11146243,
  "title": "Gemini 4 Argon Beats GPT-6 Astra at 40% the Cost",
  "url": "https://urgent.news/2026/10/01/gemini-4-argon-beats-gpt-6-astra-at-40-the-cost",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-01T08:22:13.000Z",
  "source": {
    "name": "ProPakistani",
    "slug": "propakistani",
    "url": "https://propakistani.pk/2026/10/01/gemini-4-argon-beats-gpt-6-astra-at-40-the-cost/"
  },
  "original_language": "en",
  "account": "Google has introduced Gemini 4 Argon, its most advanced AI model to date, specifically designed for coding, research, enterprise applications, and cybersecurity tasks. Despite matching the performance of GPT-6 Astra in various benchmarks, Argon is significantly more cost-effective, costing 40% less than its counterpart. Currently, Google is offering Argon exclusively to a select group of cyber defenders via its Fairwind Program before gradually opening up access to developers, enterprises, and consumers. Pricing for Argon starts at $2 per million input tokens and $10 per million output tokens during the initial rollout period, which is expected to increase to $4 and $20 respectively after the introductory period. Built for intricate, long-term workflows, Argon is already being utilized internally at Google for debugging, research, algorithm design, and large-scale code migrations. The model achieved a remarkable 77.9% score on the DeepSWE v1.1 benchmark, which focuses on real-world software engineering tasks, as well as a top score of 51.3% on AutomationBench, where it outperformed other models. Additionally, Argon demonstrated exceptional performance on the LVBench, which assesses long-video understanding, with a score of 91.7%. It successfully assisted in migrating large C/C++ codebases to Rust, including projects with over 800,000 lines of code, and optimized a Rust video decoder, increasing its speed by 2.7 times compared to a previous Rust implementation. Independent evaluations rank Gemini 4 Argon as the top model out of 41 on the Vals Index, scoring 68.90%, surpassing Claude Sonnet 5.5 (67.04%), Claude Opus 5.5 (66.97%), and GPT-6 Astra (63.13). However, it does not outperform all benchmarks, as it trails GPT-6 Astra in some individual tests. Trained specifically for defensive cybersecurity, Argon possesses the capability to autonomously identify, validate, and rectify software vulnerabilities. In a recent incident, Wiz utilized the model to detect a critical vulnerability in healthcare software that had previously gone undetected by other frontier models.",
  "summary": "Google has unveiled Gemini 4 Argon, its most powerful AI model yet, meant for coding, research, enterprise work, and cybersecurity. … Read More The post Gemini 4 Argon Beats GPT-6 Astra at 40% the Cost appeared first on ProPakistani .",
  "key_points": [
    "Gemini 4 Argon matches GPT-6 Astra's performance in benchmarks",
    "Argon costs 40% less than GPT-6 Astra",
    "Argon excels in cybersecurity tasks and code migrations"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}