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.
Model specifications
- Input
- text, image, video, file, audio
- Output
- text
- Context
- 1,000,000 tokens
- Max output
- 64,000 tokens
- Input price
- $1.5 / 1M tokens
- Output price
- $7.5 / 1M tokens
- Released
- 2026-10-14
Capabilities
- Streaming
- Function calling
- Vision
- JSON mode
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Flex service tier
1 available provider · discounts up to 25.000000000000007% · tier input average $0.75 / 1M tokens · tier output average $3.75 / 1M tokens
Google Vertex
Tier: Flex · Region: US
Pricing
- Input
- $0.75 / 1M tokens
- Output
- $3.75 / 1M tokens
- Cache read
- $0.0375 / 1M tokens
Discounts
- Input: 25% off — list $1 / 1M tokens, discounted $0.75 / 1M tokens, effective $0.75 / 1M tokens
- Cache read: 25% off — list $0.05 / 1M tokens, discounted $0.0375 / 1M tokens, effective $0.0375 / 1M tokens
- Output: 25% off — list $5 / 1M tokens, discounted $3.75 / 1M tokens, effective $3.75 / 1M tokens
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- Yes
- SOC 2 certified
- Yes
- BYOK supported
- Yes
Privacy policy · Terms · Official website · Documentation · Status · Support
Standard service tier
1 available provider · discounts up to 25.000000000000007% · tier input average $1.5 / 1M tokens · tier output average $7.5 / 1M tokens
Google Vertex
Tier: Standard · Region: US
Pricing
- Input
- $1.5 / 1M tokens
- Output
- $7.5 / 1M tokens
- Cache read
- $0.075 / 1M tokens
Discounts
- Input: 25% off — list $2 / 1M tokens, discounted $1.5 / 1M tokens, effective $1.5 / 1M tokens
- Cache read: 25% off — list $0.1 / 1M tokens, discounted $0.075 / 1M tokens, effective $0.075 / 1M tokens
- Output: 25% off — list $10 / 1M tokens, discounted $7.5 / 1M tokens, effective $7.5 / 1M tokens
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- Yes
- SOC 2 certified
- Yes
- BYOK supported
- Yes
Privacy policy · Terms · Official website · Documentation · Status · Support
Priority service tier
1 available provider · discounts up to 25% · tier input average $2.7 / 1M tokens · tier output average $13.5 / 1M tokens
Google Vertex
Tier: Priority · Region: US
Pricing
- Input
- $2.7 / 1M tokens
- Output
- $13.5 / 1M tokens
- Cache read
- $0.135 / 1M tokens
Discounts
- Input: 25% off — list $3.6 / 1M tokens, discounted $2.7 / 1M tokens, effective $2.7 / 1M tokens
- Cache read: 25% off — list $0.18 / 1M tokens, discounted $0.135 / 1M tokens, effective $0.135 / 1M tokens
- Output: 25% off — list $18 / 1M tokens, discounted $13.5 / 1M tokens, effective $13.5 / 1M tokens
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- Yes
- SOC 2 certified
- Yes
- BYOK supported
- Yes
Privacy policy · Terms · Official website · Documentation · Status · Support
Frequently asked questions
- What is 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.
- How much does Google: Gemini 4 Argon cost?
- Input costs start at $1.5 / 1M tokens and output costs start at $7.5 / 1M tokens. Provider-level prices vary by service tier.
- Are provider discounts available for Google: Gemini 4 Argon?
- Yes. Current provider offers include discounts of up to 25% from list price. The provider table shows list, discounted, and effective prices.
- What is the context length of Google: Gemini 4 Argon?
- Google: Gemini 4 Argon supports a 1,000,000 token context window and up to 64,000 output tokens.
- What capabilities does Google: Gemini 4 Argon support?
- Google: Gemini 4 Argon supports Streaming, Function calling, Vision, JSON mode.
- Which providers offer Google: Gemini 4 Argon?
- Google: Gemini 4 Argon is available from Google Vertex.
- How do providers handle data privacy for Google: Gemini 4 Argon?
- 1 of 1 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.