Gemini 4 Argon

Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.

4 Argon differs from earlier Gemini models in the following ways:

• Context window and long decodes: The 1,048,576-token context window is shared across input, thinking, and output tokens on all supported API surfaces (including the GenerateContent API, the Interactions API, and the OpenAI compatibility Chat Completions API). A single synchronous request generates up to 65,536 thinking and output tokens (or 32,768 tokens for non-streaming direct HTTP requests). On the GenerateContent API (v1beta1), you can extend output up to 1,048,576 tokens using long decodes: the Google Gen AI SDK and Agent Studio handle continuation_token automatically across requests, or you can pass continuation_token in a custom continuation loop (known issue: long decoding on GenerateContent is supported only in the v1beta1 API, which the Google Gen AI SDK uses by default). For details, see the developer's guide to Gemini 4 Argon.
• Thinking levels: Supports thinking levels LOW, MEDIUM (default), and HIGH. Setting thinking_budget or thinking_level="MINIMAL" returns an HTTP 400 validation error.
• Sampling parameters: Custom values for sampling parameters (temperature, top_p, and top_k) are ignored.
• Context caching: 4 Argon supports implicit caching only (6,144-token minimum), with durable caching enabled by default. Explicit context caching isn't supported.

Try in Agent Studio Deploy example app Developer guide Pricing

Note: "Deploy example app" requires a Google Cloud project with billing and Agent Platform API enabled.

Model ID	gemini-4-argon
Modalities	description Text Input and output photo Image Input only mic Audio Input only videocam Video Input only
Token limits	Context window	1,048,576
	Maximum output tokens	1,048,576
Capabilities	Thinking Supported System instructions Supported Structured output Supported Context caching Implicit context caching Supported RAG Engine Not supported Tuning Not supported URL context Supported Agentic video understanding Supported
Tools	Grounding Google Search, Google Maps, Agent Search, Parallel Web Search, Exa Web Search, Web Grounding for Enterprise Supported Code execution Supported Function calling Supported Computer use Preview feature Supported
APIs	GenerateContent API Supported Interactions API Preview feature Supported Gemini Live API Not supported Count Tokens API Supported Chat Completions API Supported
Consumption options	Provisioned Throughput Supported Batch inference Supported Pay-as-you-go Standard PayGo, Flex PayGo, Priority PayGo Supported Fixed quota Not supported
Technical specifications	Image	Maximum images per prompt: 3,000 (up to 100 URIs) Maximum file size per file for inline data or direct uploads through the console: 7 MB Maximum file size per file from Google Cloud Storage: 30 MB Supported MIME types: image/png, image/jpeg, image/webp, image/heic, image/heif
	Text	Maximum number of files per prompt: 3,000 (up to 100 URIs) Maximum number of pages per file: 3,000 Maximum file size per file for the API or Cloud Storage imports: 50 MB(application/pdf) or 7 MB(text/plain) Maximum file size per file for direct uploads through the console: 7 MB Supported MIME types: application/pdf, text/plain
	Video	Maximum video length (with audio): Approximately 45 minutes Maximum video length (without audio): Approximately 1 hour Maximum number of videos per prompt: 10 Supported MIME types: video/x-flv, video/quicktime, video/mpeg, video/mpegs, video/mpg, video/mp4, video/webm, video/wmv, video/3gpp
	Audio	Maximum audio length per prompt: Approximately 8.4 hours, or up to 1 million tokens Maximum number of audio files per prompt: 1 Speech understanding for: Audio summarization, transcription, and translation Supported MIME types: audio/x-aac, audio/flac, audio/mp3, audio/m4a, audio/mpeg, audio/mpga, audio/mp4, audio/ogg, audio/pcm, audio/wav, audio/webm
Supported regions	Model availability	Global: global Multi-region: us, eu
	ML processing	Multi-region: us, eu
	Provisioned Throughput	Global: global Multi-region: us, eu
	Standard PayGo	Global: global Multi-region: us, eu
	Priority PayGo	Global: global Multi-region: us, eu
Versions	gemini-4-argon Launch stage: GA Release date: October 13, 2026
Security controls	Online prediction	Data residency CMEK VPC-SC AXT
	Batch inference	Data residency CMEK VPC-SC AXT
	Context caching	Data residency CMEK VPC-SC AXT
	See Security controls for more information.

Gemini 4 Argon Cyber Permissive

Gemini 4 Argon Cyber Permissive is a version of Gemini 4 Argon for defensive cybersecurity use cases, such as vulnerability discovery, reverse engineering, exploit verification, and patch generation. Gemini 4 Argon Cyber Permissive is a Gemini Frontier Cyber Model subject to Section 31 and Section 34 ("Google Frontier Models") of the Service Specific Terms. For information about abuse monitoring and zero data retention for Google Frontier Models, see Abuse monitoring and Zero data retention.

Gemini 4 Argon Cyber Permissive is available in GA (including when using CodeMender) behind an allowlist. To request access, contact your Google team or apply through the Fairwind Program. Access to Gemini 3.8 Flash Cyber doesn't carry over; you must apply separately.

The following table shows how Gemini 4 Argon Cyber Permissive differs from Gemini 4 Argon:

	4 Argon	4 Argon Cyber Permissive
Model ID	gemini-4-argon	gemini-4-argon-cyber-permissive
Access	Publicly available	Allowlist only (Fairwind Program)
Default thinking level	MEDIUM (supports LOW, MEDIUM, HIGH)	HIGH (supports LOW, MEDIUM, HIGH)
Computer use	Supported	Not supported
Supported regions	global, us, eu	global, us