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Google - Closed weights

Gemini 4 Argon pricing and specs

Gemini 4 Argon is a closed-weights model from Google that costs $2 per 1M input tokens and $10 per 1M output tokens on the first-party API, with a 1.05M-token context window.

Last verified from ai.google.dev. All sources

Input / 1M
$2
Output / 1M
$10
Context
1.05M tokens
Weights
Closed

Pricing per 1M tokens

ItemPrice / 1M tokens
Input$2
Output$10
Cache read$0.10
Batch inputBatch requests$1
Batch outputBatch requests$5

Note: Introductory pricing through November 30, 2026; from December 1, 2026 the paid-tier Standard price doubles to $4.00 input / $20.00 output / $0.20 cached input (Batch $2.00 / $10.00 / $0.10). Implicit caching only (explicit caching is not supported), so there is no cache write or storage charge. Output price includes thinking tokens. No free tier. Flex is the same as Batch ($1.00 / $5.00); Priority is $3.60 input / $18.00 output / $0.18 cached through Nov 30 ($7.20 / $36.00 / $0.36 after). A Contributor tier (data used to improve products) is $1.00 / $5.00. context window is a unified input+output limit; max output is 65,536 for default synchronous requests and up to 1,048,576 with long decode. GA date from the Gemini API changelog (October 13, 2026).

Specs

Context window
1,048,576 tokens
Max output
65,536 tokens
Release date
Provider
Google
API model id
gemini-4-argon
Vercel AI Gateway id
google/gemini-4-argon
Weights
Closed weights

What Gemini 4 Argon costs in practice

Worked from the standard list rates above, with the math shown so you can swap in your own token counts.

One agent session

1M input tokens and 100K output tokens, no caching.

  • Input1M x $2 = $2.00
  • Output0.1M x $10 = $1.00

$3.00per session

A chat app

10,000 requests a day at 2K input and 500 output tokens each.

  • Input20M x $2 = $40.00
  • Output5M x $10 = $50.00

$90.00per day

$2,700.00 per 30-day month

The same session at a 90% cache hit

90% of the input is read from the prompt cache. The one-time cache write premium is not included.

  • Cached input0.9M x $0.10 = $0.09
  • Uncached input0.1M x $2 = $0.20
  • Output0.1M x $10 = $1.00

$1.29per session

Compare with

ModelInput / 1MOutput / 1M
Gemini 4 Argon (this page)$2$10
Claude Sonnet 5Anthropic$2$10
Claude Sonnet 5.5Anthropic$2$10
Command ACohere$2.50$10
Command R+ 08-2024Cohere$2.50$10
Gemini 2.5 ProGoogle$1.25$10
Gemini 3.1 Pro PreviewGoogle$2$12
Gemini Robotics ER 2 PreviewGoogle$1$5
Gemini 3.6 FlashGoogle$0.75$3.75
Gemini 3.8 FlashGoogle$0.75$3.75
Gemini 3 Flash PreviewGoogle$0.50$3

Compare

Side-by-side pages with both models' prices, specs, cost examples and like-for-like benchmark rows.

FAQ

How much does Gemini 4 Argon cost per million tokens?

Gemini 4 Argon costs $2 per 1M input tokens and $10 per 1M output tokens on Google's first-party API, per ai.google.dev on October 17, 2026. Per 1M tokens, cache reads cost $0.10, and the batch rate is $1 input and $5 output.

What is Gemini 4 Argon's context window?

Gemini 4 Argon has a 1,048,576-token context window and returns up to 65,536 output tokens per response.

Are Gemini 4 Argon's weights open?

No. Gemini 4 Argon is a closed-weights model. You call it through Google's API as gemini-4-argon or through Vercel AI Gateway as google/gemini-4-argon.

When was Gemini 4 Argon released?

Google released Gemini 4 Argon on October 13, 2026.

Sources

Last verified from ai.google.dev.

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