Gemini 3.5 Flash Description

Gemini 3.5 Flash is Google’s high-performance multimodal AI model built to deliver frontier-level intelligence, fast execution speeds, and advanced agentic capabilities for coding, automation, and enterprise workflows. As the first release in the Gemini 3.5 series, the model is designed to help developers, businesses, and users execute complex long-horizon tasks through AI-powered reasoning, workflow orchestration, and intelligent automation. Gemini 3.5 Flash combines powerful coding performance, multimodal understanding, and real-time responsiveness while outperforming earlier Gemini models and competing frontier AI systems across several coding and reasoning benchmarks. The model is optimized for agentic workflows, allowing it to plan, execute, and manage multi-step tasks such as software development, infrastructure management, document preparation, and business process automation through the updated Antigravity harness. Gemini 3.5 Flash can also deploy collaborative subagents that work together under supervision to complete demanding workflows more efficiently and at lower operational cost. Beyond coding and automation, the platform generates richer graphics, dynamic web interfaces, interactive animations, and advanced multimodal experiences that support developers and enterprise users building AI-driven applications. Google has integrated Gemini 3.5 Flash across the Gemini app, AI Mode in Google Search, Google AI Studio, Android Studio, Gemini Enterprise Agent Platform, and enterprise AI services to expand access to advanced AI capabilities globally. The model also powers Gemini Spark, Google’s new personal AI agent designed to operate continuously and assist users with digital life management and automated task execution.

Pricing

Pricing Starts At:
$1.50 per 1M tokens (input)
Pricing Information:
Input: $1.50 per 1 million tokens
Output: $9.00 per 1 million tokens
Free Version:
Yes

Integrations

API:
Yes, Gemini 3.5 Flash has an API

Reviews - 1 Verified Review

Total
ease
features
design
support

Company Details

Company:
Google
Year Founded:
1998
Headquarters:
United States
Website:
gemini.google.com

Media

Gemini 3.5 Flash Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

Gemini 3.5 Flash Features and Options

Gemini 3.5 Flash Lists

Gemini 3.5 Flash User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Developer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Big leap for Google AI models

    Date: May 19 2026

    Summary: Gemini 3.5 Flash feels like one of the biggest leaps Google has made with Gemini so far. The combination of frontier-level intelligence, speed, and real-world task execution makes it genuinely useful on a daily basis. It’s not just a chatbot anymore — it feels like an AI system that can actively help you work smarter and faster. Easy 5 stars.

    Positive: Gemini 3.5 Flash is seriously impressive when it comes to speed. What stands out most is that it delivers high-end AI performance without feeling slow or heavy. Responses are fast, coding help is excellent, and it handles complex multi-step tasks far better than previous Gemini models. For someone who uses AI constantly throughout the workday, that balance of speed and intelligence makes a huge difference.

    I’ve also been impressed by how capable it is with agentic workflows. Whether it’s organizing research, generating documents, helping with coding, or handling long prompts with lots of context, 3.5 Flash feels much more reliable and focused. It’s especially useful inside the Gemini app and Workspace tools because it can actually help complete tasks instead of just answering questions.

    The multimodal improvements are another huge plus. The model handles text, graphics, UI generation, and interactive content much better than before. It feels more polished and more practical for real-world work, especially for developers, analysts, and teams handling large projects.

    Negative: Even though the model is incredibly fast, there are still occasional moments where outputs need refinement, especially for highly technical or nuanced requests. I still review important drafts, code, or generated workflows before fully relying on them.

    Read More...
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