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AI CLUSTERED EVENT · 10/14/2026

Google DeepMind Launches Gemini 4 Argon: Leading ERQA with Million-Token Reasoning and Embodied AI While Redefining Enterprise Cost Efficiency

13 reports archived11 independent sourcesupdated 10/14/2026, 06:47:26
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Google DeepMind has officially launched Gemini 4 Argon, its new flagship model marking a return to the frontier of AI competition. Designed for complex multi-step tasks in coding, finance, and science, Argon surpasses Claude Opus 5.5 on the Vals AI Professional Index (68.90%) and matches GPT-6 Astra on the Artificial Analysis Intelligence Index while reducing task costs by approximately 40%.

Technically, Argon features a unified context window of 1,048,576 tokens and supports a 'long output' mode allowing background generation for up to 24 hours, significantly enhancing long-range reasoning. In embodied intelligence, it leads the ERQA benchmark with an 87% score, capable of reconstructing physically calibrated simulation twins from camera video (Real2Sim). The model also achieved the lowest hallucination rate (15%) among mainstream models in AA-Omniscience tests and demonstrated practical efficacy in refactoring tens of millions of lines of code for the Chrome team.

Commercially, Gemini 4 Argon replaces the Pro series as the new flagship, with free users downgraded to the Flash model. API pricing starts at introductory rates ($2/M input, $10/M output), doubling after November 30. This strategy establishes a cost advantage—reducing average test costs to $15.68 compared to competitors' $32.14—and clarifies Google's positioning in high-value enterprise scenarios by tightening access to advanced models.

LATEST/Gemini 4 Argon is now globally available via AI Studio, Gemini Platform API, and OpenRouter, integrated into Google Search AI Mode and Antigravity. Developers can immediately build with the model, though prices will double after the introductory period ends on November 30. Google is simultaneously expanding Argon's deployment across vertical industries, strengthening its ecosystem in autonomous agents and robotic control.

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Total 13 reports · Latest first
  1. IT之家 · 智能时代T2·86 pts
    • Gemini 4 Argon supports an output limit of up to 1,048,576 tokens, sharing a single 1-million-token context window for input, reasoning, and output.
    • The model ranks first on the Vals Index for economic domains, excelling in multi-step complex tasks across coding, finance, law, and cybersecurity.
    • It has been used by the Chrome team to refactor tens of millions of lines of code, reducing months of work to weeks, and can autonomously fix critical security vulnerabilities.
    • Introductory pricing is available ($2/M input, $10/M output), doubling after November 30.
  2. Rohan Paul (@rohanpaul_ai)T2·88 pts
    • Gemini 4 Argon is now available to paid API users, Ultra/Pro subscribers, and Google Antigravity platform users.
    • Scores 68.90% on the Vals AI professional index, leading Claude Sonnet 5.5 (67.04%) and Opus 5.5 (66.97%).
    • Features a 1 million token output context window, far exceeding the 64K limit of Gemini 3.1 Pro Preview.
    • Average test time is under 47 minutes at a cost of $15.68, significantly lower than Claude Opus 5.5's $32.14.
  3. The DecoderT2·88 pts
    • Gemini 4 Argon is now globally available via API and key interfaces like Google Search AI mode.
    • Tier restructuring: Argon replaces Pro as the flagship; free/Plus users are limited to Flash models, while Ultra/Pro subscribers gain access to Argon.
    • Safety metrics mention prompt injection resistance rates for GPT-6 Astra and Claude Opus 5, though test condition parity is not explicitly confirmed.
  4. Artificial Analysis (@ArtificialAnlys)T1·86 pts
    • Gemini 4 Argon is Google's first public proprietary model above the Flash tier in over 7 months, closing the high-end product gap.
    • It matches GPT-6 Astra's intelligence level while reducing cost per task by ~40%, with cache read discounts increased to 95%.
    • The model shows significant gains in agentic evaluations and achieves the lowest hallucination rate among top-tier models.
  5. 宝玉 (@dotey)T2·86 pts
    • Gemini 4 Argon is the first model in the Gemini 4 series, specialized for multi-step complex tasks (coding, finance, legal, security).
    • API uses introductory pricing: $2/million input tokens and $10/million output tokens; prices double to $4/$20 starting December 1.
    • Features a unified 1,048,576-token context window shared across input, thinking, and output; standard single-call output limit is 65,536 tokens.
    • Introduces a 'long-output' mode allowing background tasks to run for up to 24 hours, generating content in segments to bypass single-call limits.
  6. Hacker News AIT2·78 pts
    • Gemini 4 Argon achieves 87% accuracy on the ERQA embodied reasoning benchmark, outperforming other frontier models
    • The model demonstrates strong physical spatial understanding and visual-semantic reasoning, enabling zero-shot robot control
    • It covers the entire robotics lifecycle, including MuJoCo simulation practice and Real2Sim twin reconstruction
  9. Google DeepMindT1·86 pts
    • Gemini 4 Argon scores 87% on the ERQA benchmark, demonstrating leading capabilities in solving 3D spatial problems.
    • Covers the full robotics lifecycle, including MuJoCo mobile manipulation, zero-shot control, and closed-loop steering of video world models.
    • Supports Real2Sim technology, enabling reconstruction of physically calibrated simulation twins from robot cameras or egocentric human videos.
  10. Google DeepMindT1·88 pts
    • Gemini 4 Argon is globally available via API for developers and enterprises, integrated into Google AI Ultra/Pro subscriptions and Search AI Mode.
    • The model's core strength lies in handling complex, multi-step tasks across domains like coding, finance, legal, cybersecurity, and science, emphasizing deep reasoning and high precision.
    • Clear commercial pricing established: after the introductory period ends on Nov 30, 2026, costs are set at $4 per 1M input tokens and $20 per 1M output tokens.
  12. The Verge AIT2·86 pts
    • Gemini 4 Argon signals Google's return to the top tier of frontier models, claiming competitive reasoning capabilities.
    • Key improvements include reduced hedging and redundancy, aiming for higher quality responses in professional scenarios.
    • The AI competitive landscape remains volatile, showing how quickly power balances can shift through rapid iteration.