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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteAs of Google’s September 30, 2026 announcement, Gemini 4 Argon is available first to trusted cyber defenders in Google’s Fairwind Program—not to the general public. Google says paid API customers and Google AI Ultra subscribers are planned for a later stage, but it has not announced a date. Its planned cyber-guardrail-free version is likewise limited to trusted defenders and internal teams, not a general release.
What is Gemini 4 Argon?
Google describes Gemini 4 Argon as a frontier model for complex software engineering, enterprise work such as legal and finance, and cybersecurity defense. Its launch announcement on September 30, 2026, emphasizes long, multi-step workflows and the ability to find, validate, and patch software vulnerabilities. These are Google’s descriptions of the model, not results from an independent hands-on evaluation.
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Google says Argon can produce up to 1 million output tokens, compared with 64,000 previously. The larger limit is intended to support long workflows that may generate hundreds of thousands of tokens in a single trajectory; it does not mean every task needs that much output. Google’s announcement outlines its stated capabilities and examples.
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Google’s rollout is staged. The first external users are trusted cyber defenders selected through Fairwind. Google also says it is participating in the U.S. government’s voluntary pre-release model-access process. After gathering feedback and doing further guardrail work, it plans to make Argon available to paid API customers and Google AI Ultra subscribers. The announcement gives no date for that next stage or for general availability.
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Fairwind is Google’s program for working with trusted organizations on cybersecurity defense. Its existence does not mean that anyone can sign up for Argon today; Google has not published a general-access date in its launch announcement. Google’s Fairwind overview provides background on the program.
What does “guardrail-free” mean?
Google says it plans to provide a version of Argon without cyber guardrails to trusted cyber defenders and internal teams for defensive work. The exception is limited to those groups and that use; it does not mean Google is offering the model generally without safeguards. Google’s stated plan is for restricted use while the company continues its safety work. The Hacker News report published October 1, 2026 also describes this plan, attributing it to Google.
The term refers to cyber-specific restrictions, not proof that every other protection is absent or that a model cannot be misused. Google’s announcement does not spell out every operational detail of the restricted version.
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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesWhat has Google shown about Argon’s capabilities?
Google reports results across coding, business automation, video understanding, vulnerability remediation, and internal engineering work. The figures below are claims from Google’s September 30, 2026 announcement, not independently verified outcomes.
Rank #3
| Area | Google’s reported result | What it indicates |
|---|---|---|
| Long-horizon software engineering | 77.9% on DeepSWE v1.1 | Google calls this state of the art for the benchmark’s software-engineering tasks. |
| Business-process automation | 51.3% on AutomationBench | Google describes this as the top score on Zapier’s end-to-end business-function benchmark. |
| Long-video understanding | 91.7% on LVBench | Google’s reported score on a long-video benchmark. |
| Vulnerability remediation | 68% on CWE-bench v1, tied for first | The benchmark evaluates vulnerability remediation, according to Google. |
Google also gives examples from its own engineering work. It says Argon identified more than 300 tebibytes of memory for release in a data-center optimization effort, with total savings estimated at 500 tebibytes to 1 pebibyte. That is an internal example, not an independently audited production result. In another example, Google says Argon rewrote 32,000 lines of SIMD code for a Rust port of the libgav1 video decoder, making it 2.7 times faster than the existing Rust port while producing identical video output. Google says critical rewrites go through automated and manual audits, emulation, and review before production. It also reports a quantum-subroutine example in which Argon improved on a published baseline by 40%; that result applies to the specific example, not quantum computing tasks generally.
How should you read the benchmark comparisons?
Benchmark percentages are meaningful only alongside their test setup and source. Google’s evaluation methodology says Argon results are pass@1—performance from one attempt—except where specified. It generally uses the highest Gemini API thinking settings and may average multiple trials on smaller benchmarks. Competitor results generally come from providers’ self-reported figures unless otherwise noted.
For DeepSWE v1.1, Google says it computed Argon’s result using a mini-swe agent harness, while rival figures came from a public leaderboard and system cards. Argon’s Terminal-Bench 4.0 result was also self-computed; other values came from the public leaderboard. Differences in harness, settings, and whether scores are self-computed or sourced from a leaderboard limit direct comparisons. The reported scores support claims about performance on specific tests, not a conclusion that Argon is best overall.
What does Google say about vulnerability discovery and safety?
Google says Argon can autonomously find, validate, and patch critical vulnerabilities. It describes using the model through Wiz’s Scan for Good initiative to identify and remediate high-risk exposures affecting critical public infrastructure. Google says an early demonstration found a critical vulnerability exposing sensitive personal information in healthcare software used by hospitals worldwide, but it did not identify the software. The announcement does not provide an independent account of the finding or establish its broader impact.
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Google also says Argon improved on Gemini 3.8 Flash Cyber in vulnerability discovery, attack-surface analysis, and proof-of-concept generation in internal and Wiz benchmarks. Those are company-reported comparisons; the methodology document should be consulted for how Google describes its evaluations.
Before broader access, Google says it is strengthening several safeguards:
- Refusals for cyber and chemical, biological, radiological, and nuclear (CBRN) misuse.
- Adversarial training and red teaming to defend against indirect prompt injection.
- Monitoring of the model’s reasoning and actions that can stop execution when necessary.
- Isolated sandboxes for high-risk testing.
Google calls Argon its most resilient model yet against indirect prompt injection and cites a Gray Swan benchmark. That is Google’s characterization, not an independent security guarantee or evidence that safeguards eliminate risk.
What will access cost?
Google’s September 30 announcement lists API pricing of $2 per million input tokens and $10 per million output tokens, with cached input priced 95% lower. It says prices after the introductory period will be $4 per million input tokens and $20 per million output tokens. The announcement does not specify when the introductory period ends. These prices do not change the access schedule: Google says paid API customers are planned for a later rollout stage, not that Argon is generally available now.
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