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title: Wait what? Gemini 4 Argon? | daily.dev
description: A post claims Google DeepMind unveiled 'Gemini 4 Argon,' a frontier reasoning model with a 1M output token limit, top SWE-Bench and CWE-bench scores, and...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Wait what? Gemini 4 Argon?

**[Showcase](https://daily.dev/sources/showcase)** · [@cristianolivera1](https://daily.dev/cristianolivera1) · 2 min read · 5 upvotes · 2 comments

## Summary

A post claims Google DeepMind unveiled 'Gemini 4 Argon,' a frontier reasoning model with a 1M output token limit, top SWE-Bench and CWE-bench scores, and autonomous capabilities including data center memory optimization and migrating C/C++ codebases like re2, libgav1, and the Fuchsia Zircon kernel to Rust. Pricing is listed at $2/1M input and $10/1M output tokens. No official Google announcement or verifiable source corroborates a model named 'Gemini 4 Argon,' and the linked blog URL pattern does not match any confirmed Google release, raising strong doubt about the claim's authenticity.

## Content

Google DeepMind has just unveiled Gemini 4 Argon, its next-generation frontier model built specifically for deep reasoning across complex, long-horizon workflows. It's already shifting how internal teams at Google optimize codebases and scale infrastructure.

**Key Technical Highlights:**

• 1M Output Token Limit: A massive leap from the previous 64K limit, allowing the model to think deeply and generate end-to-end solutions in a single trajectory.

• SWE-Bench Dominance: Sets a new SOTA on DeepSWE v1.1 (77.9%) for real-world, long-horizon software engineering tasks.

• Autonomous Data Center Optimizations: Argon agents analyzed fleet-wide profiling telemetry at Google data centers, autonomously applying memory fixes that freed up over 300 TiB of memory (scaling up to 1 PiB).

• Massive Migrations: Currently migrating core C/C++ libraries (re2, libgav1) and the Fuchsia Zircon kernel (800K+ lines) to Rust. Optimized libgav1 SIMD code to run 2.7x faster than standard Rust.

• Cybersecurity Defense: Ties #1 on CWE-bench v1 (68%) for vulnerability remediation. It's being shipped without cyber guardrails exclusively to trusted defenders (Fairwind Program) for autonomous patching.

💵 Introductory Pricing: $2.00 / 1M input tokens | $10.00 / 1M output tokens (95% off cached inputs). Rolling out soon to developers and enterprises.

For more details, please see: [https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/)

## Community discussion

Top comments from developers on daily.dev.

**@danygivovich** · 2 upvotes

> Is this real? Or are you lying to us again?

## Similar posts on daily.dev

- [Gemini 4 Argon: Google’s New AI Is Built to Think and Work for Much Longer](https://daily.dev/posts/gemini-4-argon-google-s-new-ai-is-built-to-think-and-work-for-much-longer-ibbgfhpdj) · Medium · 0 upvotes · 0 comments
- [Gemini 4 Argon debuts with a unified 1M input/output token limit](https://daily.dev/posts/gemini-4-argon-debuts-with-a-unified-1m-input-output-token-limit-uqdxppv6j) · The New Stack · 5 upvotes · 2 comments

---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#rust](https://daily.dev/tags/rust), [#google-gemini](https://daily.dev/tags/google-gemini), [#google-deepmind](https://daily.dev/tags/google-deepmind)

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