Google
Google
MultimodalAUTO PROFILELIVE PRICING

Gemini 4 Argon (batch)

text+image+file+audio+video->text

Gemini 4 Argon (batch) is a general-purpose chat-tuned model. Available via Google. 1,048,576-token context. Mid-tier pricing.

Gemini 4 Argon (batch) is a multimodal AI model from Google. It costs $1.000 per million input tokens and $5.000 per million output tokens (blended $2.200/M), with a 1,048,576-token context window.

INPUT
$1.000/M
per million input tokens
OUTPUT
$5.000/M
per million output tokens
BLENDED 70/30
$2.200/M
unchanged since 3 May
CONTEXT
1,048,576
tokens
What it is good at
  • Solid general chat performance
  • Reasonable instruction following
  • Multimodal: handles images alongside text
Typical use cases
  • General chat
  • Drafting and rewriting
  • Personal productivity

Benchmarks

No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.

More from Google

See all 24 →

Frequently asked questions

How much does Gemini 4 Argon (batch) cost?

Gemini 4 Argon (batch) costs $1.000 per million input tokens and $5.000 per million output tokens, for a blended reference rate of $2.200 per million tokens.

What is Gemini 4 Argon (batch)'s context window?

Gemini 4 Argon (batch) supports up to 1,048,576 tokens of context in a single request.

What is Gemini 4 Argon (batch) best for?

Gemini 4 Argon (batch) is well suited to Solid general chat performance, Reasonable instruction following and Multimodal: handles images alongside text.

Who makes Gemini 4 Argon (batch)?

Gemini 4 Argon (batch) is developed and served by Google.

Terms used on this page