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title: Gemini 4 Argon is here, it’s great, and you can’t have...
description: Google announced Gemini 4 Argon, its new flagship model, claiming top scores on 13 of 18 benchmarks against Anthropic&#x27;s Opus 5.5 and Fable 5.1 and OpenAI&#x27;s...
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og:description: Google announced Gemini 4 Argon, its new flagship model, claiming top scores on 13 of 18 benchmarks against Anthropic&#x27;s Opus 5.5 and Fable 5.1 and OpenAI&#x27;s...
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# Gemini 4 Argon is here, it’s great, and you can’t have it yet

**[The New Stack](https://daily.dev/sources/newstack)** · 5 min read · 0 upvotes · 0 comments

## Summary

Google announced Gemini 4 Argon, its new flagship model, claiming top scores on 13 of 18 benchmarks against Anthropic's Opus 5.5 and Fable 5.1 and OpenAI's GPT-6 Astra. Coding results are mixed: Argon sets a new state of the art on DeepSWE v1.1 (77.9%) but trails competitors on FrontierSWE v2 and Terminal-Bench 4.0. It dominates knowledge-work benchmarks like AutomationBench and GraphWalks, and now supports up to one million output tokens, up from 64,000 in prior Gemini models. Google trained Argon for autonomous vulnerability discovery and cites a Wiz-reported critical healthcare software vulnerability found via its Scan for Good initiative. Access is initially limited to the Fairwind Program, with API customers and AI Ultra subscribers next in line; pricing has not been announced.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/google-gemini-4-argon>

## Questions this post answers

### What is the maximum output token limit for Google's Gemini 4 Argon model?

Gemini 4 Argon can generate up to one million output tokens in a single response, a major jump from the 64,000 output token limit of previous Gemini models. Google says this added headroom lets the model reason more deeply and solve harder problems in a single trajectory rather than requiring multiple turns.

_Developers weighing long-form reasoning workloads can track model capability shifts like this on daily.dev._

### How does Gemini 4 Argon perform on coding benchmarks compared to GPT-6 Astra and Opus 5.5?

Gemini 4 Argon's coding results are mixed: it sets a new state of the art with 77.9% on DeepSWE v1.1, but it comes last against GPT-6 Astra and Opus 5.5 on FrontierSWE v2 and Terminal-Bench 4.0, trailing by 10.5 and nine points respectively. On Vibe Code Bench it scores 91.9%, though all four compared models score above 89% there.

_Anyone choosing a coding model can compare benchmark trade-offs like these before switching on daily.dev._

### How is Gemini 4 Argon being used for cybersecurity and vulnerability discovery?

Google trained Gemini 4 Argon to autonomously find, validate, and patch software vulnerabilities, releasing it without cyber guardrails for Fairwind participants and internal teams. Wiz, acquired by Google for $32 billion, uses Argon in its Scan for Good initiative and reportedly found a critical vulnerability in widely used hospital software that earlier frontier models missed. Argon scores 85.8% on Google's internal vulnerability discovery benchmark.

_Security teams evaluating AI-assisted vulnerability discovery can follow developments like this on daily.dev._

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- [Google launches Gemini 3 with new coding app and record benchmark scores](https://daily.dev/posts/google-launches-gemini-3-with-new-coding-app-and-record-benchmark-scores-aqu91rxbh) · TechCrunch · 0 upvotes · 0 comments

---

Tags: [#ai](https://daily.dev/tags/ai), [#security](https://daily.dev/tags/security), [#google](https://daily.dev/tags/google), [#google-gemini](https://daily.dev/tags/google-gemini)

[View this post on daily.dev](https://daily.dev/posts/gemini-4-argon-is-here-it-s-great-and-you-can-t-have-it-yet-s6vgzoe95)

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