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Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.

Try in ewpiregoogle/gemini-4-argon

Opens in the ewpire workspace. Creating an account is free; runs are paid from your credits.

Gemini 4 Argon in plain words

Gemini 4 Argon is a text model from Google. It takes audio, files, images, text, and video as input and returns text. Its context window is 1,048,576 tokens. It costs 1.94 credits per 1M input tokens and 9.7 credits per 1M output tokens.

It is good at reasoning through multi-step problems, writing and reviewing code, reading attached files, and calling tools. It reads images as well as text. It is one of the slower models in the catalog. A context window of 1,048,576 tokens holds about 4,200,000 characters of English text, at 4 characters a token.

For example, a question of 2,000 tokens (about 8,000 characters) with an answer of 1,000 tokens (about 4,000 characters) costs 0.01358 credits. The exact charge follows the usage the model reports for your request.

Details

Made by: Google
Good at: ReasoningVisionFilesTool useCoding
Reads: Audio, Files, Images, Text, Video
Produces: Text
Context window: 1,048,576 tokens
Speed: Slower

Price

Input, per 1M tokens: 1.94 credits
Output, per 1M tokens: 9.7 credits

Charged per request from your credit balance. No subscription. See pricing

In the API – coming soon

API keys are not open yet. The docs show how to call this model with the OpenAI SDK or plain HTTP once they are. Read the docs

curl https://ewpire.com/api/v1/chat/completions \
  -H "Authorization: Bearer $EWPIRE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemini-4-argon","messages":[{"role":"user","content":"Hello!"}]}'

The docs show how to list the models the API serves, with their capabilities and prices, once API keys are open. Models in the docs

Gemini 4 Argon in plain words

Details

Price

In the API – coming soon

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