SmolVLM

SmolVLM

Hugging Face
+
+

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About

Gemini 3.6 Flash is Google’s newest Flash model built for efficient, reliable, production-scale AI agents. The model improves on Gemini 3.5 Flash with stronger coding, knowledge work, multimodal performance, computer use, and agentic workflow execution. Gemini 3.6 Flash is designed to use fewer output tokens, take fewer reasoning steps, reduce unnecessary tool calls, and lower the cost of complex AI tasks. It supports document parsing, chart analysis, data analysis, report drafting, code migrations, visual understanding, and multi-agent orchestration. The model is available through the Gemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, and the Gemini app. Built for developers and enterprises, Gemini 3.6 Flash helps teams build faster, lower-cost, and more capable AI agents across coding, analysis, productivity, and multimodal workloads.

About

SmolVLM-Instruct is a compact, AI-powered multimodal model that combines the capabilities of vision and language processing, designed to handle tasks like image captioning, visual question answering, and multimodal storytelling. It works with both text and image inputs, providing highly efficient results while being optimized for smaller, resource-constrained environments. Built with SmolLM2 as its text decoder and SigLIP as its image encoder, the model offers improved performance for tasks that require integration of both textual and visual information. SmolVLM-Instruct can be fine-tuned for specific applications, offering businesses and developers a versatile tool for creating intelligent, interactive systems that require multimodal inputs.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

Developers, AI agent builders, enterprise AI teams, software engineering teams, data analysts, knowledge workers, product teams, and organizations that need efficient coding support, multimodal reasoning, computer use, document analysis, agentic workflows, lower token usage, and production-scale Gemini API access

Audience

Developers, AI researchers, and businesses looking for a compact, high-performance model to handle multimodal tasks, including image-based data analysis, captioning, and story generation

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$1.50 per 1M tokens (input)
$1.50/1M input tokens and $7.50/1M output tokens
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 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 3.6 Flash feels like a really solid upgrade from a developer’s point of view. I like that Google is not just chasing “bigger model” headlines here, but focusing on the stuff that matters when you are actually building: coding quality, speed, cost, and token efficiency. The 17% fewer output tokens claim is a big deal for developers running agents, coding assistants, or high-volume workflows. When a model is being called over and over for planning, code edits, summaries, tool calls, and debugging loops, small efficiency gains can turn into real savings.

Cons

  • The main downside is that Flash still sounds like the efficient model, not the absolute top-end reasoning model. For really hard architecture work, long autonomous coding runs, or deep research-heavy tasks, I would still want to test it against the strongest frontier models before making it my default.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Google
Founded: 1998
United States
gemini.google.com

Company Information

Hugging Face
Founded: 2016
United States
huggingface.co/HuggingFaceTB/SmolVLM-Instruct

Alternatives

Alternatives

Inkling

Inkling

Thinking Machines Lab
Pixtral Large

Pixtral Large

Mistral AI
Magma

Magma

Microsoft

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported

Categories

AI Vision Models Supported

Integrations

Android Studio Supported
C Supported
Cursor Supported
Dart Supported
Gemini Supported
Gemini 3.8 Flash Cyber Supported
Gemini Enterprise Agent Platform Supported
Gemini Spark Supported
Go Supported
Google AI Plus Supported
Google AI Studio Supported
Google AI Ultra Supported
Kotlin Supported
Lua Supported
OpenTag Supported
PowerShell Supported
R Supported
Replit Supported
Solidity Supported
Swift Supported

Integrations

Android Studio Not Supported
C Not Supported
Cursor Not Supported
Dart Not Supported
Gemini Not Supported
Gemini 3.8 Flash Cyber Not Supported
Gemini Enterprise Agent Platform Not Supported
Gemini Spark Not Supported
Go Not Supported
Google AI Plus Not Supported
Google AI Studio Not Supported
Google AI Ultra Not Supported
Kotlin Not Supported
Lua Not Supported
OpenTag Not Supported
PowerShell Not Supported
R Not Supported
Replit Not Supported
Solidity Not Supported
Swift Not Supported
Claim Gemini 3.6 Flash and update features and information
Claim Gemini 3.6 Flash and update features and information
Claim SmolVLM and update features and information
Claim SmolVLM and update features and information