Models Model details

Google

Google: Gemini 4 Argon

google/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. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.

Input
$2

/ 1M tokens

Output
$10

/ 1M tokens

Context window
1.05M

tokens

Limits

Context

1,048,576

tokens

Max output

65,536

6.3% of the context window

Model facts

Author

Google

Tokenizer

Gemini

Modality

Text + Image + File + Audio + Video -> Text

Created

Oct 13, 2026

Reasoning

RequiredDefault MediumHighMediumLow

Publication status

Hugging Face: not mappedLicense: not publishedParameter count: not published

Modalities

Input · AudioInput · FileInput · ImageInput · TextInput · VideoOutput · Text

Generation controls

Include reasoningMax tokensReasoningReasoning effortResponse formatSeedStopStructured outputsTemperatureTool choiceToolsTop p

Capability scores

52.6
Intelligence index

Better than 96% of models compared

Creative tasks

Category performance

3D
Top 8%

1390 Elo

64.8% win

Games
Top 7%

1371 Elo

62.4% win

Data visualization
Top 4%

1354 Elo

62.1% win

UI components
Top 9%

1332 Elo

58.3% win

Code
Top 8%

1329 Elo

57.5% win

Websites
Top 7%

1315 Elo

56.2% win