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Google: gemini-4-argon

gemini-4-argon
1.0M context65.5K outReasoningToolsParallel toolsVisionAudio inVideoFilesCacheStructuredWeb searchURL contextStreamingSystem msg
Released Oct 13, 2026Updated Oct 13, 2026

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.

Mode chatTokenizer Gemini

Pricing

Input price
$2.00/ 1M tokens
Output price
$10.00/ 1M tokens
Compatible endpoints openaiVendor Google

Uptime

Performance

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Usage & Ranking

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Supported parameters

All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.

ParameterProvidersDefault
frequency_penaltySome providersNot sent by default
include_reasoningAll providers-
max_tokensAll providers-
presence_penaltySome providersNot sent by default
reasoningAll providers-
reasoning_effortAll providers-
repetition_penaltySome providersNot sent by default
response_formatAll providers-
seedAll providers-
stopSome providers-
structured_outputsAll providers-
temperatureAll providersNot sent by default
tool_choiceAll providers-
toolsAll providers-
top_kSome providersNot sent by default
top_pAll providersNot sent by default

Frequently asked questions

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