Gemini 4 Argon
text+image+file+audio+video->text
Gemini 4 Argon is a general-purpose chat-tuned model. Available via Google. 1,048,576-token context. Mid-tier pricing.
Gemini 4 Argon is a multimodal AI model from Google. It costs $2.000 per million input tokens and $10.000 per million output tokens (blended $4.400/M), with a 1,048,576-token context window.
INPUT
$2.000/M
per million input tokens
OUTPUT
$10.000/M
per million output tokens
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.
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in $2.000/Mout $12.000/M
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in $0.500/Mout $3.000/M
Frequently asked questions
How much does Gemini 4 Argon cost?
Gemini 4 Argon costs $2.000 per million input tokens and $10.000 per million output tokens, for a blended reference rate of $4.400 per million tokens.
What is Gemini 4 Argon's context window?
Gemini 4 Argon supports up to 1,048,576 tokens of context in a single request.
What is Gemini 4 Argon best for?
Gemini 4 Argon is well suited to Solid general chat performance, Reasonable instruction following and Multimodal: handles images alongside text.
Who makes Gemini 4 Argon?
Gemini 4 Argon is developed and served by Google.