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About

Gemini 3.5 Flash is Google’s latest frontier AI model designed to combine advanced intelligence, high-speed performance, and agentic workflow execution for developers, enterprises, and everyday users. Built as part of the Gemini 3.5 family, the model excels at coding, long-horizon reasoning, multimodal understanding, and complex multi-step automation tasks while delivering significantly faster output speeds than many competing frontier models. Gemini 3.5 Flash powers AI agents capable of planning, executing, and managing workflows such as application development, codebase maintenance, data analysis, and financial document preparation through the Antigravity harness. The model also supports rich multimodal experiences by generating interactive graphics, dynamic web interfaces, animations, and advanced visual content. Gemini 3.5 Flash is integrated across Google products including the Gemini app, Google Search AI Mode, Google Antigravity, Google AI Studio, Android Studio, and more.

About

LLaVA (Large Language-and-Vision Assistant) is an innovative multimodal model that integrates a vision encoder with the Vicuna language model to facilitate comprehensive visual and language understanding. Through end-to-end training, LLaVA exhibits impressive chat capabilities, emulating the multimodal functionalities of models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art performance across 11 benchmarks, utilizing publicly available data and completing training in approximately one day on a single 8-A100 node, surpassing methods that rely on billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been instrumental in training LLaVA to perform a wide array of visual and language tasks effectively.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, enterprises, AI engineers, business teams, and organizations seeking high-performance multimodal AI models for coding, automation, agentic workflows, and intelligent application development

Audience

Researchers and anyone wanting a solution to generate and improve their AI-generated content

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1.50 per 1M tokens (input)
Input: $1.50 per 1 million tokens
Output: $9.00 per 1 million tokens
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • 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.

Cons

  • 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.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
gemini.google.com

Company Information

LLaVA
llava-vl.github.io

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI

Alternatives

PaliGemma 2

PaliGemma 2

Google
Claude Opus 5

Claude Opus 5

Anthropic
Qwen3.5

Qwen3.5

Alibaba
Claude Fable 5

Claude Fable 5

Anthropic
Falcon 2

Falcon 2

Technology Innovation Institute (TII)
Gemini 4

Gemini 4

Google
Inkling

Inkling

Thinking Machines Lab

Categories

Categories

Integrations

C
C#
C++
GPT-4
Gemini 3.5 Flash Cyber
Gemini 3.6 Flash
Gemini 3.7 Flash
Gemini Spark
Google AI Overviews
Google AI Plus
Google Antigravity
JetBrains Junie
Kotlin
OfoxAI
R
Rust
SQL
Swift
XML
YAML

Integrations

C
C#
C++
GPT-4
Gemini 3.5 Flash Cyber
Gemini 3.6 Flash
Gemini 3.7 Flash
Gemini Spark
Google AI Overviews
Google AI Plus
Google Antigravity
JetBrains Junie
Kotlin
OfoxAI
R
Rust
SQL
Swift
XML
YAML
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