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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.

Description

TinyFish is an innovative enterprise AI platform that creates and manages "enterprise web agents" capable of executing intricate workflows across the internet at an extensive scale. Rather than depending on APIs or manual interventions, these agents emulate human behavior by navigating websites, extracting valuable information, and performing multi-step operations across numerous platforms simultaneously. This approach addresses the increasing complexity of the modern online landscape, where valuable data is often scattered, secured behind logins, or in a state of constant flux, rendering traditional automation methods ineffective. TinyFish's agents are supported by a sophisticated infrastructure that allows them to learn, adapt, and scale efficiently, ensuring their accuracy and reliability amidst the evolving web environments. The platform is structured around achieving specific outcomes rather than merely completing isolated tasks, allowing agents to carry out comprehensive processes such as pricing intelligence, inventory management, or market surveillance from beginning to end. As a result, TinyFish not only streamlines operations but also enhances the potential for businesses to extract actionable insights from diverse data sources.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenClaw
BLACKBOX AI
Claude Code
Clawd.run
Cursor
Dify
Factory Droid
HTML
Hermes Agent
Kilo Code
MaxHermes
MiniMax Agent
Model Context Protocol (MCP)
Ollama
Pi Agent
Python
Roo Code
Tabbit Browser
Together AI
Vision Agents

Integrations

OpenClaw
BLACKBOX AI
Claude Code
Clawd.run
Cursor
Dify
Factory Droid
HTML
Hermes Agent
Kilo Code
MaxHermes
MiniMax Agent
Model Context Protocol (MCP)
Ollama
Pi Agent
Python
Roo Code
Tabbit Browser
Together AI
Vision Agents

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$1.50 per month
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

MiniMax

Founded

2021

Country

Singapore

Website

www.minimax.io

Vendor Details

Company Name

TinyFish

Founded

2024

Country

United States

Website

www.tinyfish.ai/

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