Project
Google initiative giving governments, healthcare providers, telecoms and selected partners early access to advanced cyber models.
Google is rolling out Gemini 4 Argon to AI Pro subscribers in the Gemini app, where it was Ultra-only. Antigravity's own desktop app and CLI still require Ultra, 9to5Google reported.
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39 publishersReality
Google is rolling out Gemini 4 Argon broadly and says it solved all 12 simulated end-to-end cyberattack scenarios, up from five. Every figure comes from Google's own post, and the foundational vulnerabilities it cites are still in responsible disclosure.
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Google DeepMind's Gemini 4 Argon, priced at half of Claude Opus 5.5, goes first to vetted cyber defenders, and paid API customers have no date. Until Google sets one, teams can only check its benchmark claims on paper.
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Google announced Gemini 4 Argon, its first Gemini 4 model, with early access limited to internal teams and vetted cyber defenders in its Fairwind program. The published API price doubles once an introductory window closes. Teams cannot yet test the coding and long-output claims they would budget around, because there is no public access.
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Google priced Gemini 4 Argon at half Claude Opus 5.5's per-token rate for a model one composite index ranks third, behind two Anthropic models. On price alone it only matches OpenAI's newly discounted GPT-6.1 Sol, so the price edge Google is selling is against Anthropic.
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Google is charging $2 and $10 per million input and output tokens for Gemini 4 Argon at launch, half the $4 and $20 it will charge later. For a model that writes long answers and is open only to vetted cyber defenders, cost per task is the figure to check before switching.
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Google will give vetted defenders and its own teams a Gemini 4 Argon build with no cyber guardrails, saying the model finds and patches critical flaws unaided. Wiz is the first named outside user, and the bug-finding evidence published so far comes from Google's own internal tests.
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Google is releasing Gemini 4 Argon, which it says can autonomously find and patch software flaws, only to select partners in its Fairwind program. Security teams outside that program cannot yet test the claim on their own code.
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Google priced Gemini 4 Argon at $2 and $10 per million input and output tokens, then released it first to trusted cyber defenders in its Fairwind Program. Teams can budget against those rates now but cannot yet measure the token counts they multiply.
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Google's Gemini 4 Argon tied GPT-6 Astra and Claude Fable 5.1 at 53 on the Artificial Analysis index, though some Google staff say its coding lags. Google disputes them, and until paid API access has a date, buyers cannot check the score on their own code.
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Google's Gemini 4 Argon matches GPT-6.1 Sol's $2/$10 token price but costs 2.7 times as much per task, according to Artificial Analysis. Argon uses more tokens per job, so buyers still have to compare frontier models by cost per completed task.
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4 publishersReality
Google prices Gemini 3.8 Flash at $0.75/$3.75 per million input/output tokens through 2026, three-eighths of what partner-only Gemini 4 Argon costs. Building on Flash now works if the later Argon swap moves the thinking settings along with the model name.
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A federal judge refused to order Google to sell its ad exchange, which takes a forced sale off the table for the ad stack, and the small bounce that followed says the argument over Alphabet has moved to the token price sheet.
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3 publishersReality
Google and Anthropic have both placed their strongest vulnerability-finding models behind approval lists, and Anthropic's own account of Claude models reaching real systems during evaluation explains why those lists exist.
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Google's third Flash release in six weeks keeps the $0.75/$3.75 rate card. But the model also spends more tokens per task. Both numbers in your cost model are moving before the price even changes.
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8 publishersReality
Gemini 3.8 Flash arrived three weeks after Google's last model, its cybersecurity sibling is invite-only, and Google says higher effort levels can spend more tokens. Standardising on a model name now has a shelf life.
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