Product
Gemini 4 Argon: specs, API pricing and data
Updated
GoogleAI Models & LLMs
- Context window
- 1,048,576 tokens
- Maximum output
- 65,536 tokens
- Input cost per 1M tokens
- $2.00
- Output cost per 1M tokens
- $10.00
Data sheet · Gemini 4 Argon
Every figure is quoted from the vendor's official page, with the date we read it. If a row is missing, the source does not state it and we do not estimate it.
Memory and answer length
- Context window
- 1,048,576 tokensRank 5 of 21
What it means and the source
How much text the model keeps in view in a single request, question and answer included. It matters for long documents and whole code projects. A token is a fragment of a word.
ai.google.devOpens the source in a new tab Oct 23, 2026- Maximum output
- 65,536 tokensRank 15 of 16
What it means and the source
The longest answer it can write in one go: useful for reports, long code or translations of whole documents.
ai.google.devOpens the source in a new tab Oct 23, 2026
API prices
- Input cost per 1M tokens
- $2.00Rank 11 of 21
What it means and the source
What it costs to have the model read a million tokens (your question, the documents, the code). It is the official list price, before discounts.
ai.google.devOpens the source in a new tab Oct 23, 2026- Cached input cost per 1M tokens
- $0.10Rank 6 of 20
What it means and the source
The reduced price when part of the request is identical to one sent recently, for example the same instructions or the same document: the vendor keeps it in memory and charges less for it.
ai.google.devOpens the source in a new tab Oct 23, 2026- Output cost per 1M tokens
- $10.00Rank 11 of 21
What it means and the source
What a million tokens written by the model cost. It usually costs more than the input and is the figure to watch when answers are long.
ai.google.devOpens the source in a new tab Oct 23, 2026
Knowledge and abilities
- Reads images
- Yes13 models out of 23
What it means and the source
The model can take images (photos, screenshots, charts) as well as text.
ai.google.devOpens the source in a new tab Oct 23, 2026- Calls tools and functions
- Yes12 models out of 23
What it means and the source
The model can call functions and tools (search, calculations, other applications) to take actions and not only write text: it matters for assistants and agents.
ai.google.devOpens the source in a new tab Oct 23, 2026
Questions and answers
Gemini 4 Argon: how much does it cost through the API?
The official list price is $2.00 per 1M input tokens and $10.00 per 1M output tokens.
Gemini 4 Argon: how much text can it read at once?
The context window is 1,048,576 tokens. It can write answers of up to 65,536 tokens.
The short version
On Google Gemini 4 Argon the figure that actually matters is Context window: 1,048,576. I took that figure from Google – Gemini 4 Argon. Among the 21 I checked, 4 do better. The other figure to look at is Output cost per 1M tokens: 10.
The numbers on Google Gemini 4 Argon
I put them in order of importance, with the value and the standing against the others I checked.
Context window: 1,048,576. Rank 5 of the 21 I compared.
Output cost per 1M tokens: 10. Rank 11 of the 21 I compared.
Input cost per 1M tokens: 2. Rank 11 of the 21 I compared.
Cached input cost per 1M tokens (USD): 0.1. Rank 12 of the 20 I compared.
Calls tools and functions: 1. That is the best value among the 12 I compared.
Maximum output (k tokens): 65,536. Rank 15 of the 16 I compared.
Who it is for
Take it if Calls tools and functions is your priority: 1, and none of the ones I checked does better.
It suits you if you are after Reads images: 1.
Look elsewhere if what matters to you is Context window: here it is 1,048,576, and 4 products do better.
Explore related coverage
Sources
Ask Sir Compare:Explain these numbers to me
Reviews and tests
Google Gemini 4 Argon
Reviews and tests · Google Gemini 4 Argon
Reviews are not available yet.
What changed
- Page updated
- Page updated