What Is Gemini 4 Argon?Gemini 4 Argon 是什么？
Gemini 4 Argon is Google DeepMind's frontier reasoning model for long-horizon software engineering, enterprise knowledge work, defensive cybersecurity, and science — the first model in the Gemini 4 family. Google announced it on September 30, 2026 (initially only to vetted cyber defenders) and launched it globally on October 13, 2026. Its defining specification: a unified 1,048,576-token input-output budget with long decode up to 1M output tokens in a single run. On Google's own table it scores 77.9% on DeepSWE v1.1 (state of the art), #1 on the Vals Index, 51.3% on AutomationBench, 68% on CWE-bench v1 and 91.7% on LVBench — while Google's own fine print concedes competing models lead on terminal and agentic-coding tests like Terminal-bench 4.0.Gemini 4 Argon 是 Google DeepMind 的旗舰推理模型，面向长程软件工程、企业知识工作、防御性网络安全和科学研究——Gemini 4 家族首款。Google 2026 年 9 月 30 日宣布（首批仅向可信网络安全从业者），10 月 13 日全球上线。它的定义级规格：统一 1,048,576 token 输入输出预算，long decode 单次输出最高 100 万 token。官方表格：DeepSWE v1.1 77.9%（SOTA）、Vals Index 第一、AutomationBench 51.3%、CWE-bench v1 68%、LVBench 91.7%——但 Google 自己也承认，Terminal-bench 4.0 等终端/Agent 编程测试上竞品领先。
Access is tiered: paid Gemini API (model ID gemini-4-argon, Low/Medium/High thinking levels), the Gemini app and Search AI Mode (AI Pro and Ultra), and Antigravity (AI Ultra only). Introductory API pricing is $2 input / $10 output per million tokens with cached input 95% off — but it rises to $4/$20 after November 30, 2026. Prices are per the official site.访问分档：付费 Gemini API（模型 ID gemini-4-argon，Low/Medium/High 三档思考强度）、Gemini App 与 Search AI Mode（AI Pro/Ultra）、Antigravity（仅 AI Ultra）。API 限时价 $2 输入 / $10 输出每百万 token，缓存输入 95% off——但 2026 年 11 月 30 日后涨至 $4/$20。价格以官网为准。
Argon's bet is a simple one: reasoning models are bottlenecked by how much they can write, not just how much they can read. A 1M unified budget where output can claim the whole thing is a genuine architectural statement — nobody else in late 2026 lets you decode a million tokens in one run. The DeepSWE 77.9% number and the YouTube-comments-frontend CPU-halved stories show Google is aiming Argon squarely at real engineering workflows, not chat vibes. The honest caveats: Google concedes rivals lead on terminal/agentic tests, the $2/$10 price doubles after November 30 so early adopters are on a clock, and access is heavily tiered — Antigravity needs AI Ultra, the unguarded variant is Fairwind-only. Verdict: the most ambitious long-output model of 2026 and the right pick for marathon engineering tasks (Fortran-to-Rust migrations, whole-frontend rewrites) where other models hit the output ceiling; but budget at $4/$20 and confirm the continuation protocol works in your stack before committing.
Argon 的赌注很简单：推理模型的瓶颈不只是能读多少，更是能写多少。100 万统一预算、输出可以占满整个预算——这是实打实的架构宣言，2026 年底没有第二家让你一次 decode 100 万 token。DeepSWE 77.9% 和 YouTube 评论前端 CPU 减半的故事说明，Google 拿 Argon 瞄的是真实工程工作流，不是聊天氛围感。真实代价：Google 自己承认终端/Agent 测试上竞品领先；$2/$10 限时价 11 月 30 日后翻倍，尝鲜者在倒计时；访问层级森严——Antigravity 要 AI Ultra，无防护版只给 Fairwind。结论：2026 年最有野心的长输出模型，长程工程任务（Fortran 转 Rust、整个前端重写）的最佳选择，别的模型在输出上限前就断了；但按 $4/$20 做预算，先确认 continuation protocol 在你的栈里跑得通再上量。
— 中国吧 AI Tools Hub Editorial Team
Who Should Use Gemini 4 Argon?谁适合使用Gemini 4 Argon？
✓ Good Fit For适合以下场景
- Marathon engineering tasks needing 100s of K of continuous output马拉松式工程任务：需要连续几十万 token 输出
- Enterprise teams already on Google Cloud / AI Ultra已在 Google Cloud / AI Ultra 的企业团队
- Verified cyber defenders (Fairwind Program access tier)经验证的网络安全从业者（Fairwind Program 通道）
✕ Not Ideal For不适合以下场景
- Budget-sensitive API users after November 30, 2026 ($4/$20)2026 年 11 月 30 日之后的预算敏感 API 用户（$4/$20）
- Terminal-first agentic coding where rivals lead (Terminal-bench 4.0)终端优先的 Agent 编程（Terminal-bench 4.0 上竞品领先）
Getting Started with Gemini 4 ArgonGemini 4 Argon 快速开始
1. Call model ID gemini-4-argon on the paid Gemini API (AI Studio / Google Cloud); pick Low/Medium/High thinking levels在付费 Gemini API（AI Studio / Google Cloud）调用模型 ID gemini-4-argon；选 Low/Medium/High 三档思考强度2. Budget $2 input / $10 output per MTok (cached 95% off) through 2026-11-30; $4/$20 after — prices per official site2026-11-30 前按 $2 输入 / $10 输出每百万 token 做预算（缓存 95% off）；之后 $4/$20——价格以官网为准3. For 1M-output runs, use Google's continuation protocol on a supported API — the standard ceiling is 64K要跑 100 万输出，在支持的 API 上用 Google 的 continuation protocol——标准上限只有 64KKey Features核心功能
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1M Unified Budget, Long Decode100 万统一预算，long decode — A unified 1,048,576-token input-output budget; long decode lets output claim up to 1M tokens in one run via the new continuation protocol (standard ceiling is 64K).统一 1,048,576 token 输入输出预算；long decode 让单次输出最高占满 100 万 token（走新 continuation protocol，标准上限 64K）。
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Long-Horizon Engineering (DeepSWE 77.9)长程工程（DeepSWE 77.9） — Google reports 77.9% on DeepSWE v1.1 (state of the art), #1 on the Vals Index, 51.3% AutomationBench, 68% CWE-bench v1 — built for real engineering workflows.官方报告 DeepSWE v1.1 77.9%（SOTA）、Vals Index 第一、AutomationBench 51.3%、CWE-bench v1 68%——为真实工程工作流而生。
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Three Thinking Levels三档思考强度 — Low, Medium and High thinking levels on the API (model ID gemini-4-argon) — dial reasoning depth per call.API 上三档思考强度：Low/Medium/High（模型 ID gemini-4-argon），每次调用按需拨推理深度。
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Fairwind Program for Cyber Defenders网络安全从业者的 Fairwind 通道 — Phased rollout starting with trusted cyber defenders; verified participants can access a variant without cyber guardrails, expanding to hundreds of partners.分阶段发布，首批给可信网络安全从业者；经验证的参与者可用无防护版，正在向数百家合作伙伴扩展。
Pros & Cons优缺点
✓ Good Fit For适合以下场景
- The only model that decodes up to 1M tokens in one run (2026)2026 年唯一能一次输出 100 万 token 的模型
- DeepSWE v1.1 77.9% — state of the art for long-horizon software engineeringDeepSWE v1.1 77.9%——长程软件工程 SOTA
- Deep Google integration: API, Gemini app, Antigravity, Search AI ModeGoogle 生态深度集成：API、Gemini App、Antigravity、Search AI Mode
- Intro $2/$10 pricing with 95% off cached input — good runway until 2026-11-30限时 $2/$10 + 缓存 95% off，2026-11-30 前窗口期不错
✕ Not Ideal For不适合以下场景
- Price doubles to $4/$20 after November 30, 2026 — early adopters on a clock2026-11-30 后价格翻倍到 $4/$20——尝鲜者在倒计时
- 1M output requires the continuation protocol; standard ceiling is 64K100 万输出要走 continuation protocol；标准上限 64K
- Tiered access — Antigravity needs AI Ultra; rivals lead on terminal/agentic tests访问层级森严——Antigravity 要 AI Ultra；终端/Agent 测试上竞品领先
Use Cases应用场景
Popular ways people use Gemini 4 Argon.人们使用Gemini 4 Argon的常见场景：
🏗️ Marathon Engineering Refactors马拉松式工程重构
Fortran-to-Rust migrations, whole-frontend rewrites — continuous output for hundreds of thousands of tokens where other models hit the ceiling.Fortran 转 Rust、整个前端重写——连续输出几十万 token，别的模型在上限前就断了。
🔬 Science & Research科学与研究
Five novel enzymes designed in hours (all catalytically active in experiments) — long-horizon scientific reasoning; 10,000 researchers get the top Antigravity tier free for six months.几小时设计 5 种全新酶（实验验证全部有催化活性）——长程科学推理；1 万名研究者可免费得 Antigravity 顶级档 6 个月。
🛡️ Defensive Cybersecurity防御性网络安全
Gray Swan indirect prompt-injection attack success rate 0.7% across 15 adaptive attempts (Google-reported); Fairwind Program for verified defenders.Gray Swan 间接提示注入攻击成功率 0.7%（15 次自适应尝试，官方报告）；经验证的防御者走 Fairwind Program。
🏢 Enterprise Knowledge Work企业知识工作
35% more agentic code submissions and ~30% fewer rollbacks for Google's internal teams; eligible Gemini Enterprise customers get API access.Google 内部团队 agentic 代码提交 +35%、回滚 -30%；符合条件的 Gemini Enterprise 客户走 API 接入。
Similar AI Tools相似 AI 工具
If Gemini 4 Argon doesn't fit your needs, here are other popular AI tools you might consider — including the Gemini home page and the Antigravity agent IDE (see our full reviews).如果Gemini 4 Argon不符合你的需求，可以看看这些热门 AI 工具——包括 Gemini 主页和 Antigravity Agent IDE（见本站完整评测）。