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Description

Abliterated Large V2 is a large language model developed by Abliteration AI for cybersecurity research, software engineering, and complex autonomous AI agent tasks. The model is derived from GLM 5.3 and uses a process known as abliteration to modify neural network weights associated with refusal behavior. This approach is intended to reduce content restrictions that can interfere with authorized security assessments, adversarial testing, and technical research. Its one-million-token context window supports processing large codebases, extensive technical documents, and multistep agent execution histories. The model provides advanced reasoning capabilities for programming, debugging, vulnerability reproduction, and technical problem-solving. Its cybersecurity applications include penetration testing research, security control evaluation, AI red teaming, and vulnerability validation in authorized environments. Native function calling and structured output capabilities allow developers to integrate the model with automated tools and external systems. Abliterated Large V2 is hosted using FP8 numerical precision and supports OpenAI-compatible and Anthropic-style API interfaces. The platform also provides automatic prompt caching and a zero-data-retention policy for API prompts and responses by default.

Description

MiniMax M3.1 Flash is an advanced hosted language model designed specifically for developers who are creating coding assistants, AI agents, and various software applications. It can be accessed via MiniMax's API and MiniMax Code, allowing it to process inputs in text, image, and video formats while generating relevant text responses. Among its documented applications are functionalities such as code generation, debugging, complex reasoning tasks, tool utilization, analysis of codebases and documents, as well as enhancing computer workflows. The API boasts an impressive context window that can handle up to 1 million tokens, offers adjustable reasoning capabilities, and supports request formats that are compatible with both OpenAI and Anthropic standards. Charges for usage are based on the number of tokens used for input, output, and cached input. Comprehensive documentation is provided by MiniMax to assist with API integration and effective model utilization. M3.1 Flash is accessible through the hosted API, M Plan, and MiniMax Code, while there are plans to release model weights in the future, expanding its potential applications even further. This innovation represents a significant step forward in the integration of AI into software development processes.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Abliteration.ai Yes 
Alibaba AI Coding Plan No 
BLACKBOX AI No 
Claude Code No 
ClinePass No 
Factory Droid No 
Fireworks AI No 
Hermes Agent No 
MaxHermes No 
MiniMax Agent No 
MiniMax Code No 
Model Context Protocol (MCP) No 
Ollama No 
OpenClaw No 
OpenCode Zen No 
OpenTag No 
Pi Agent No 
Roo Code No 
Tabbit Browser No 
Venice.ai Yes 

Integrations

Abliteration.ai No 
Alibaba AI Coding Plan Yes 
BLACKBOX AI Yes 
Claude Code Yes 
ClinePass Yes 
Factory Droid Yes 
Fireworks AI Yes 
Hermes Agent Yes 
MaxHermes Yes 
MiniMax Agent Yes 
MiniMax Code Yes 
Model Context Protocol (MCP) Yes 
Ollama Yes 
OpenClaw Yes 
OpenCode Zen Yes 
OpenTag Yes 
Pi Agent Yes 
Roo Code Yes 
Tabbit Browser Yes 
Venice.ai No 

Pricing Details

$3 per 1M tokens (input)
$3.00 per 1 million input tokens, $5.00 per 1 million output tokens, and $0.30 per 1 million cached input tokens
Free Trial No 
Free Version No 

Pricing Details

$0.15/1M input tokens
Input: $0.15 per 1 million tokens; output: $0.60 per 1 million tokens; cached input: $0.015 per 1 million tokens. Standard pay-as-you-go billing in USD, based on token usage.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Abliteration.ai

Founded

2025

Country

United States

Website

abliteration.ai/

Vendor Details

Company Name

MiniMax

Founded

2022

Country

China

Website

www.minimax.io/blog/minimax-m31f

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No Alternatives

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