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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

MiniMax M2.5 is a next-generation foundation model built to power complex, economically valuable tasks with speed and cost efficiency. Trained using large-scale reinforcement learning across hundreds of thousands of real-world task environments, it excels in coding, tool use, search, and professional office workflows. In programming benchmarks such as SWE-Bench Verified and Multi-SWE-Bench, M2.5 reaches state-of-the-art levels while demonstrating improved multilingual coding performance. The model exhibits architect-level reasoning, planning system structure and feature decomposition before writing code. With throughput speeds of up to 100 tokens per second, it completes complex evaluations significantly faster than earlier versions. Reinforcement learning optimizations enable more precise search rounds and fewer reasoning steps, improving overall efficiency. M2.5 is available in two variants—standard and Lightning—offering identical capabilities with different speed configurations. Pricing is designed to be dramatically lower than competing frontier models, reducing cost barriers for large-scale agent deployment. Integrated into MiniMax Agent, the model supports advanced office skills including Word formatting, Excel financial modeling, and PowerPoint editing. By combining high performance, efficiency, and affordability, MiniMax M2.5 aims to make agent-powered productivity accessible at scale.

Description

ReinforceNow serves as a comprehensive platform dedicated to ongoing learning through AI agents, designed to assist teams in deploying, training, and iterating efficiently. Developers are empowered to create AI agents that can be continuously trained using production traffic, or they can opt for Claude Code to configure the setup automatically. The platform manages vital components such as reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, allowing teams to concentrate on refining agent logic, data collection, and reward systems. With support for rapid LLM fine-tuning using LoRA, high-throughput training capabilities, and extensive compatibility with open-source models including Qwen, DeepSeek, and GPT-OSS, ReinforceNow enhances developers' efficiency. It offers sophisticated telemetry features that help evaluate, monitor, and iterate on AI agent LLM applications, including detailed traces, reward systems, experiment metrics, and training visibility. Teams can tackle extended tasks that require context sizes ranging from 32k to 1 million, create specialized agents for multi-turn interactions and long-duration tasks, and access an array of tools to streamline their reinforcement learning workflows, ultimately fostering innovation in AI development.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
APIFree Yes 
Alibaba AI Coding Plan Yes 
Amazon Web Services (AWS) No 
BLACKBOX AI Yes 
Clawd.run Yes 
Cline Yes 
DeepSeek No 
Fireworks AI Yes 
Google Cloud Platform No 
Kilo Code Yes 
Ollama Yes 
OpenClaw Yes 
Oxlo.ai Yes 
Qwen No 
Roo Code Yes 
Runpod No 
Shiori Yes 
Tabbit Browser Yes 
gpt-oss-120b No 

Integrations

Claude Code Yes 
APIFree No 
Alibaba AI Coding Plan No 
Amazon Web Services (AWS) Yes 
BLACKBOX AI No 
Clawd.run No 
Cline No 
DeepSeek Yes 
Fireworks AI No 
Google Cloud Platform Yes 
Kilo Code No 
Ollama No 
OpenClaw No 
Oxlo.ai No 
Qwen Yes 
Roo Code No 
Runpod Yes 
Shiori No 
Tabbit Browser No 
gpt-oss-120b Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

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

Customer Support

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

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) Yes 
In Person No 

Vendor Details

Company Name

MiniMax

Founded

2021

Country

Singapore

Website

www.minimax.io

Vendor Details

Company Name

ReinforceNow

Country

United States

Website

www.reinforcenow.ai/

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