DeepMind announced frontier Gemini 4 Argon for long-horizon coding, enterprise knowledge work, and cyber defense—first via Fairwind trusted defenders. Official: DeepSWE v1.1 77.9%, AutomationBench #1 at 51.3%, LVBench 91.7%, CWE-bench v1 tied 68%; intro $2/$10 per 1M tokens; 1M output limit.

Key Takeaways

  • ✓Model: Gemini 4 Argon for long-horizon coding / enterprise knowledge work / cyber defense — official blog
  • ✓Benchmarks (official): DeepSWE v1.1 77.9% SOTA; AutomationBench 51.3% #1; LVBench 91.7%; CWE-bench v1 tied 68%; Fairwind charts: vuln discovery 85.8% / Wiz pen-test 70.9%
  • ✓Capacity & price: 1M output tokens (from ~64K); intro $2/$10 per 1M in/out (~95% off cached input), then $4/$20
  • ✓Access: Fairwind trusted defenders today; next paid API + Google AI Ultra; not in public AI Studio yet — Fairwind
  • ✓Internal: quantum subroutine spacetime −40% vs published baseline; libgav1 Rust port 2.7× faster; 300+ TiB memory freed in datacenters
Google DeepMind launches Gemini 4 Argon: DeepSWE 77.9%, 1M output; Fairwind trusted defenders first
🖼️Official Media
Click to view high-res
⚡

Key Decision Metrics at a Glance

TL;DR Verdict
🏆 Benchmark RankRank
Benchmarks (official): DeepSWE v1.1 77.9% SOTA; AutomationBench 51.3% #1; LVBench 91.7%; CWE-bench v1 tied 68%; Fairwind charts: vuln discovery 85.8% / Wiz pen-test 70.9%
Full Leaderboard→
💰 Cost & PlansCompare
in: $2 / out: $10
Compare Plans↗
🛠️ Ecosystem & IDERules
Gemini 4 Argon · Google DeepMind · Fairwind
Setup IDE Rules↗
🧭

Turn your technical choice into a development budget

Compare 40 dev plans & simulate token costs vs $20/mo subscriptions

⚔️ Compare Model→💰 Compare plans & limits↗
🔗

Project Links & Resources

Direct Access
Direct access to official project resources and documentation
📝
Introducing Gemini 4 Argon (Google Blog)
blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/
↗
📖
Fairwind Program (DeepMind)
deepmind.google/fairwind-program/
↗
🌐
CWE-bench v1 leaderboard
cwe-bench.com/
↗
🌐
Vals Index
www.vals.ai/benchmarks/vals_index
↗
🔬

In-Depth Technical Analysis

Core Background & Industry Pain Points

Google DeepMind announced frontier model Gemini 4 Argon on 2026-09-30 for long-horizon workflows in software engineering, enterprise knowledge work (legal/finance), and cybersecurity defense. First access is limited to trusted defenders via the Fairwind Program, alongside U.S. voluntary pre-release access; public developer/API rollout waits on stronger guardrails.

Architecture Highlights & Internals

Argon targets sustained deep reasoning: output context expands to an industry-leading 1M tokens (from ~64K). Internally it already assists quantum spacetime optimization, fleet memory remediation, and large C/C++→Rust migrations (re2, libgav1, Fuchsia Zircon). For Fairwind partners and Google internal teams, Argon can ship without cyber guardrails for full vuln find/validate/patch capability.

Authoritative Benchmarks & Measured Scores

Official numbers only: DeepSWE v1.1 long-horizon SWE 77.9% SOTA; Zapier AutomationBench #1 at 51.3%; long-video LVBench 91.7% SOTA; remediation CWE-bench v1 tied first at 68%. Fairwind charts: real-world vuln discovery 85.8% vs 3.8 Flash Cyber 71.0%; Wiz black-box pen-test 70.9% vs 58.2%. Vals Index / Finance Agent / Harvey Legal are claimed leading—use official charts for exact scores.

Developer Hands-on Guide

Not in public AI Studio / general Gemini API today. Eligible critical-infra partners apply via Fairwind; broader access starts with paid API customers and Google AI Ultra. Intro pricing $2 / $10 per 1M input/output (cached input ~95% off), then $4 / $20. Track the official blog—ignore “fully GA” rumors.

Action HubReady to adopt this in production?

Benchmark side-by-side against alternatives, or calculate monthly token cost vs subscription break-even.

⚔️ Launch VS Compare→💳 View Plans↗
Up NextGemini 4 Argon is generally available: gemini-4-argon ships in the Gemini API and AI Studio with a 1M unified window, long decode and $2/$10 intro pricing
Read Now→