Alex GetmanAI 早期訊號
繁

Gemini 4 Argon

Google

已發布 提前 12天 發現更新於
上下文視窗
1M
1,048,576 token
最大輸出
1M
1,048,576 token
輸入 / 輸出
音訊, 影像, pdf, 文字, 影片 → 文字

API 價格

USD / 百萬 token

輸入輸出快取輸入
  • $2.00
  • $10.00
  • $0.10
計算使用成本

時間軸

  1. · API 開放 · 參考連結
  2. · 已發布 · 參考連結
輸入/輸出價格 · USD / 百萬 token
模型參考連結輸入/輸出價格
gemini-4-argon
batch
gemini
API 路由無法使用
$1.00 / $5.00
gemini-4-argon
flex
gemini
API 路由無法使用
$1.00 / $5.00
gemini-4-argon
priority
gemini
API 路由無法使用
$3.60 / $18.00
gemini-4-argon
standard
gemini
API 路由無法使用
$2.00 / $10.00
gemini-4-argon
standard · 文字
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. · 已確認使用 · Google · official articles · Genie 4: A new generation of world simulation
    摘錄
    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
    摘錄
    🚨 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
    摘錄
    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
    摘錄
    🚨 Gemini 4 Argon is out! Only Ultra users for now
  5. · Alex 的文章 · Alex Getman
    摘錄
    🚨 Gemini 4 Argon has been added to Google Cloud, which means the release is very close.
  6. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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
    摘錄
    🚨 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
    摘錄
    🚨 Gemini 4 Argon takes the #1 spot on Text Arena
  9. · Alex 的文章 · Alex Getman
    摘錄
    🚨 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.

參考連結

  • · 目錄記錄 · Gemini API · models/gemini-4-argon

訊號 5

規格

Gemini 4 Argon 是 Google 的 AI 模型，於 2026-10-13 發布。 上下文視窗為1,048,576 token。 最大輸出為1,048,576 token。 每百萬 token 的價格為：輸入 $2.00，輸出 $10.00。

上下文視窗
1,048,576
最大輸出
1,048,576
輸入
音訊 · 影像 · pdf · 文字 · 影片
輸出
文字
輸入 · USD / 百萬 token
$2.00
輸出 · USD / 百萬 token
$10.00
快取輸入 · USD / 百萬 token
$0.10

常見問題

Gemini 4 Argon 的上下文視窗有多大？

上下文視窗為1,048,576 token。 最大輸出為1,048,576 token。

Gemini 4 Argon 的價格是多少？

每百萬 token 的價格為：輸入 $2.00，輸出 $10.00。 快取輸入價格為每百萬 token $0.10。

Gemini 4 Argon 何時發布？

2026-10-13。 Signal Forge 於 2026-09-30 首次記錄，比發布提前 12天。