Alex GetmanAI 早期信号
ZH

Gemini 4 Argon

Google

已发布 提前 12天 发现更新于
上下文窗口
1M
1,048,576 token
最大输出
1M
1,048,576 token
输入 / 输出
音频, 图像, pdf, 文本, 视频 → 文本

API 价格

USD / 百万 token

输入输出缓存输入
  • $2.00
  • $10.00
  • $0.10
计算使用成本

时间线

  1. · API 开放 · 参考链接
  2. · 已发布 · 参考链接
输入/输出价格 · USD / 百万 token
模型参考链接输入/输出价格
gemini-4-argon
batch
gemini
API 路由不可用
$1.00 / $5.00
gemini-4-argon
flex
gemini
API 路由不可用
$1.00 / $5.00
gemini-4-argon
priority
gemini
API 路由不可用
$3.60 / $18.00
gemini-4-argon
standard
gemini
API 路由不可用
$2.00 / $10.00
gemini-4-argon
standard · 文本
opencode-go$2.00 (When not (Date >= 2026-12-01)); $4.00 (Date >= 2026-12-01) / $10.00 (When not (Date >= 2026-12-01)); $20.00 (Date >= 2026-12-01)
google/gemini-4-argon
standard
openrouter$2.00 / $10.00
google/gemini-4-argon:batch
batch
openrouter$1.00 / $5.00
google/gemini-4-argon
standard
vercel-gateway$2.00 / $10.00
  1. · 已确认使用 · Google · official articles · Genie 4: A new generation of world simulation
    摘录
    This capability becomes a path for simulating a breadth of scenarios in imagined worlds, using Gemini 4 Argon and Genie 4
  2. · Alex 的文章 · Alex Getman
    摘录
    🚨 Gemini 4 Carbon is out. According to synthetic benchmarks, it’s now the best AI model in the world. The Artificial Analysis Intelligence Index seems to confirm that. But will it actually be usable in practice? I seriously doubt it. Remember when Gemini 4 Argon came out and everyone called it the ultimate AI killer? In reality, it turned out to be such a hallucinating piece of shit that even a grandma with dementia could probably reason better. So I’d take all these impressive numbers with a massive grain of salt. Divide the hype by at least two. I’m pretty sure Carbon won’t even come close to Tera or Sonnet in real-world use. I genuinely have no idea who this is even for.
  3. · Alex 的文章 · Alex Getman
    摘录
    Gemini 4 Argon benchmarks are out We've actually seen these benchmarks before, back when the model was first announced. Looks really strong in text, vision, etc. thanks to Google's foundation. But I feel like the coding scores are heavily benchmark-optimized. Happy to be wrong.
  4. · Alex 的文章 · Alex Getman
    摘录
    🚨 Gemini 4 Argon is out! Only Ultra users for now
  5. · Alex 的文章 · Alex Getman
    摘录
    🚨 Gemini 4 Argon has been added to Google Cloud, which means the release is very close.
  6. · Alex 的文章 · Alex Getman
    摘录
    🚨 Gemini 4 Argon sits almost right on the Pareto frontier for price vs intelligence, next to Claude Opus 5.5 Medium and High
  7. · Alex 的文章 · Alex Getman
    摘录
    🚨 Gemini 4 Argon scores 53 and ties for 3rd place with Fable 5.1 and GPT 6 Astra on the AA Intelligence Index
  8. · Alex 的文章 · Alex Getman
    摘录
    🚨 Gemini 4 Argon takes the #1 spot on Text Arena
  9. · Alex 的文章 · Alex Getman
    摘录
    🚨 Google announced Gemini 4 Argon Pricing starts at $2 per 1M input tokens and $10 per 1M output tokens. For now, only approved organizations have access.

参考链接

  • · 目录记录 · Gemini API · models/gemini-4-argon

信号 5

规格

Gemini 4 Argon 是 Google 的 AI 模型，于 2026-10-13 发布。 上下文窗口为1,048,576 token。 最大输出为1,048,576 token。 每百万 token 的价格为：输入 $2.00，输出 $10.00。

上下文窗口
1,048,576
最大输出
1,048,576
输入
音频 · 图像 · pdf · 文本 · 视频
输出
文本
输入 · USD / 百万 token
$2.00
输出 · USD / 百万 token
$10.00
缓存输入 · USD / 百万 token
$0.10

常见问题

Gemini 4 Argon 的上下文窗口有多大？

上下文窗口为1,048,576 token。 最大输出为1,048,576 token。

Gemini 4 Argon 的价格是多少？

每百万 token 的价格为：输入 $2.00，输出 $10.00。 缓存输入价格为每百万 token $0.10。

Gemini 4 Argon 何时发布？

2026-10-13。 Signal Forge 于 2026-09-30 首次记录，比发布提前 12天。