Average Ratings 1 Rating

Total
ease

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Gemini 3.6 Flash is Google’s workhorse Flash model for developers and enterprises building production AI agents at scale. The model is designed to deliver higher quality than Gemini 3.5 Flash while improving token efficiency, latency, and overall task cost. Google says Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index and can show even larger efficiency gains on certain software engineering benchmarks. It is priced lower than 3.5 Flash at $1.50 per 1 million input tokens and $7.50 per 1 million output tokens. Gemini 3.6 Flash improves performance in coding, ML research, computer use, knowledge work, document parsing, chart analysis, report drafting, and data-heavy workflows. The model also supports built-in computer use through the Gemini API and Gemini Enterprise, making it more useful for agentic systems that need to operate across digital environments. Google highlights customer use cases involving financial transcript analysis, code migrations, visual workflows, and interactive design tools. The model includes enhanced Frontier Safety safeguards for CBRN and cyber offense misuse while aiming to reduce unnecessary refusals for beneficial uses. By combining efficiency, stronger reasoning, multimodal ability, computer use, and enterprise availability, Gemini 3.6 Flash gives teams a practical model for scaling AI agents in production.

Description

Qwen3.8-Flash-Next represents an open-weight multimodal Mixture-of-Experts architecture and serves as an initial glimpse into the design intended for Qwen4. This model strategically enhances attention mechanisms, residual pathways, embeddings, and optimization techniques to boost its capabilities, improve computational efficiency, expand model capacity, and ensure training stability. Its innovative hybrid architecture merges Gated DeltaNet, which adeptly compresses past information, with Qwen Sparse Attention, enabling the selection of significant context at a micro-block level to lessen both attention and indexing costs associated with lengthy sequences. The Gated Residual feature broadens the residual pathway into four streams, dynamically managing the flow of information across different layers. Additionally, the N-gram Embedding integrates large-scale local-pattern memory with minimal added computation per token, and it can be transferred to host memory for further efficiency. The model is structured around a 125B-parameter main network supplemented by 51B parameters dedicated to N-gram embeddings, activating only 6B parameters for each token processed. This sophisticated framework highlights the ongoing advancements in machine learning architectures, setting a promising stage for future developments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OfoxAI
OpenClaw
Python
Alibaba Cloud
Alibaba Cloud Model Studio
Bind AI
C#
ClinePass
Devin Desktop
Gemini 3.5 Flash
Gemini 3.5 Flash-Lite
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Managed Agents
Google AI Mode
Google AI Overviews
Google AI Studio
Kotlin
Novita AI
XML

Integrations

OfoxAI
OpenClaw
Python
Alibaba Cloud
Alibaba Cloud Model Studio
Bind AI
C#
ClinePass
Devin Desktop
Gemini 3.5 Flash
Gemini 3.5 Flash-Lite
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Managed Agents
Google AI Mode
Google AI Overviews
Google AI Studio
Kotlin
Novita AI
XML

Pricing Details

$1.50 per 1M tokens (input)
$1.50/1M input tokens and $7.50/1M output tokens
Free Trial
Free Version

Pricing Details

$2 per 1M (input)
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.google.com

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

Alternatives

Claude Opus 5 Reviews

Claude Opus 5

Anthropic

Alternatives

Claude Opus 5 Reviews

Claude Opus 5

Anthropic
Grok 4.6 Reviews

Grok 4.6

SpaceXAI
Grok 4.6 Reviews

Grok 4.6

SpaceXAI
Qwen3.5 Reviews

Qwen3.5

Alibaba
Claude Fable 5 Reviews

Claude Fable 5

Anthropic
Claude Fable 5 Reviews

Claude Fable 5

Anthropic