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What is Gemini Decision 1?

Gemini Decision 1 is a purpose-built artificial intelligence model developed by Google to support automated decision-making, classification, and evaluation within software systems. Rather than functioning as a conventional AI chatbot, the model examines supplied information and returns structured predictions based on questions defined by the developer. Its supported decision types include Boolean evaluations, multiple-choice classifications, and numerical scoring against predefined criteria. The system provides probability distributions and confidence information that applications can use to determine how strongly the available evidence supports a particular outcome. With a context capacity of approximately 262,000 tokens, Gemini Decision 1 can analyze extensive documents, records, and other contextual inputs. Developers can implement the model for use cases such as customer service ticket routing, content moderation, document classification, lead qualification, and automated quality assessments. It can also serve as a decision component within AI agent architectures by evaluating task conditions and selecting appropriate actions from predefined choices. The model supports integration through API-based development workflows, including access through Vercel AI Gateway. Its specialized output format allows applications to process model predictions programmatically without extracting decisions from lengthy generated explanations. By combining large-context analysis with probabilistic classification and scoring, Gemini Decision 1 enables organizations to incorporate structured AI evaluations into business processes and intelligent applications.

What is Gemini 4 Argon?

Gemini 4 Argon is Google's frontier AI model for advanced reasoning and long-horizon workflows across software engineering, enterprise knowledge work, cybersecurity defense, and creative tasks. The model combines coding, multimodal understanding, reasoning, and multi-step execution to address complex professional workloads that may require sustained work across many steps. Google expanded Argon's maximum output from 64,000 tokens to 1 million tokens, allowing it to reason and generate hundreds of thousands of tokens within a single trajectory when required. Google engineers are already using Argon internally for tasks ranging from everyday debugging and algorithm design to large-scale migrations of C and C++ codebases to Rust. On DeepSWE v1.1, which evaluates real-world long-horizon software engineering, Google reports that Gemini 4 Argon achieves a score of 77.9%. The model also scored 51.3% on AutomationBench, a Zapier benchmark measuring end-to-end execution across business functions. Its knowledge-work capabilities include financial research, legal research and drafting, professional chart analysis, document-based workflows, and long-video understanding, with a reported 91.7% score on LVBench. Google has additionally trained Argon for defensive cybersecurity, enabling it to autonomously find, validate, and patch critical software vulnerabilities. Argon tied for first with a reported 68% score on CWE-bench v1 and has been evaluated on vulnerability discovery across complex codebases covering 20 programming languages. Google is using a phased release strategy that begins with trusted cyber defenders through the Fairwind Program while additional safeguards are tested before broader availability. The company plans to expand Gemini 4 Argon to developers, enterprises, and consumers, beginning with paid API customers and Google AI Ultra subscribers.

Media

Media

Integrations Supported

Gemini
Gemini platform
Google AI Studio

Integrations Supported

Gemini
Gemini platform
Google AI Studio
Agent Search on Gemini Enterprise Agent Platform
Bash
C#
Cheaper Inference
Gemini 3.5 Flash-Lite
Gemini 3.8 Flash Cyber
Gemini 3.8 Live
Gemini Computer Use
Go
Google AI Overviews
JetBrains Junie
OpenClaw
PowerShell
Python
Scala
Solidity
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

$0.10 per 1M tokens (input)
$0.10 per 1 million tokens (input), no charge for output tokens
Free Version

Pricing Information

$2 per 1M tokens (input)
$2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

aistudio.google.com/docs/models/gemini-decision-1

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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