Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google AI Studio Reviews & Ratings
    4.8 out of 5 stars 42 Ratings
    Company Website for Google AI Studio
  • Gemini platform Reviews & Ratings
    4.3 out of 5 stars 1,178 Ratings
    Company Website for Gemini platform
  • LTX Reviews & Ratings
    4.4 out of 5 stars 182 Ratings
    Company Website for LTX
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • IONOS Cloud GPU Servers Reviews & Ratings
    4.6 out of 5 stars 45,816 Ratings
    Company Website for IONOS Cloud GPU Servers
  • Creatio Reviews & Ratings
    4.6 out of 5 stars 589 Ratings
    Company Website for Creatio
  • Canditech Reviews & Ratings
    5.0 out of 5 stars 111 Ratings
    Company Website for Canditech
  • Daylight Reviews & Ratings
    4.8 out of 5 stars 15 Ratings
    Company Website for Daylight
  • Cloverleaf Reviews & Ratings
    4.8 out of 5 stars 189 Ratings
    Company Website for Cloverleaf
  • Nutrient SDK Reviews & Ratings
    4.7 out of 5 stars 113 Ratings
    Company Website for Nutrient SDK

What is MiniMax M2.5?

MiniMax M2.5 is an advanced frontier model designed to deliver real-world productivity across coding, search, agentic tool use, and high-value office tasks. Built on large-scale reinforcement learning across hundreds of thousands of structured environments, it achieves state-of-the-art results on benchmarks such as SWE-Bench Verified, Multi-SWE-Bench, and BrowseComp. The model demonstrates architect-level planning capabilities, decomposing system requirements before generating full-stack code across more than ten programming languages including Go, Python, Rust, TypeScript, and Java. It supports complex development lifecycles, from initial system design and environment setup to iterative feature development and comprehensive code review. With native serving speeds of up to 100 tokens per second, M2.5 significantly reduces task completion time compared to prior versions. Reinforcement learning enhancements improve token efficiency and reduce redundant reasoning rounds, making agentic workflows faster and more precise. The model is available in both M2.5 and M2.5-Lightning variants, offering identical intelligence with different throughput configurations. Its pricing structure dramatically undercuts other frontier models, enabling continuous deployment at a fraction of traditional costs. M2.5 is fully integrated into MiniMax Agent, where standardized Office Skills allow it to generate formatted Word documents, financial models in Excel, and presentation-ready PowerPoint decks. Users can also create reusable domain-specific “Experts” that combine industry frameworks with Office Skills for structured, professional outputs. Internally, MiniMax reports that M2.5 autonomously completes a significant portion of operational tasks, including a majority of newly committed code. By pairing scalable reinforcement learning, high-speed inference, and ultra-low cost, MiniMax M2.5 positions itself as a production-ready engine for complex agent-driven applications.

What is Llama 4 Maverick?

Meta’s Llama 4 Maverick is a state-of-the-art multimodal AI model that packs 17 billion active parameters and 128 experts into a high-performance solution. Its performance surpasses other top models, including GPT-4o and Gemini 2.0 Flash, particularly in reasoning, coding, and image processing benchmarks. Llama 4 Maverick excels at understanding and generating text while grounding its responses in visual data, making it perfect for applications that require both types of information. This model strikes a balance between power and efficiency, offering top-tier AI capabilities at a fraction of the parameter size compared to larger models, making it a versatile tool for developers and enterprises alike.

Media

Media

Integrations Supported

BLACKBOX AI
Oxlo.ai
Claude Code
Kilo Code
Ollama
Shiori
Tabbit Browser

Integrations Supported

BLACKBOX AI
Oxlo.ai
Baseten
CSS
CentML
Clojure
Go
JavaScript
Llama 4 Behemoth
Meta Model API
Okara
Rust
SQL
Snowflake
Visual Basic

API Availability

Has API

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

MiniMax

Date Founded

2021

Company Location

Singapore

Company Website

www.minimax.io

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Popular Alternatives

Popular Alternatives

Big Pickle Reviews & Ratings

Big Pickle

OpenCode
Claude Opus 4.5 Reviews & Ratings

Claude Opus 4.5

Anthropic
Amazon Nova 2 Pro Reviews & Ratings

Amazon Nova 2 Pro

Amazon
5.0 out of 5 stars
MiniMax M3 Reviews & Ratings

MiniMax M3

MiniMax
5.0 out of 5 stars