This is the Linux app named MiniMax-M2.5 whose latest release can be downloaded as MiniMax-M2.5sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named MiniMax-M2.5 with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
MiniMax-M2.5
DESCRIPTION
MiniMax-M2.5 is a state-of-the-art foundation model extensively trained with reinforcement learning across hundreds of thousands of real-world environments. It delivers leading performance in coding, agentic tool use, search, and complex office workflows, achieving top benchmark scores such as 80.2% on SWE-Bench Verified and 76.3% on BrowseComp. Designed to reason efficiently and decompose tasks like an experienced architect, M2.5 plans features, structure, and system design before generating code. The model supports full-stack development across web, mobile, and desktop platforms, covering the entire lifecycle from system design to testing and code review. With native serving speeds of up to 100 tokens per second, it completes complex agentic tasks significantly faster than previous versions while maintaining high token efficiency. M2.5 is built to be highly cost-effective, enabling continuous deployment of powerful AI agents at a fraction of the cost of other frontier models.
Features
- State-of-the-art performance in coding benchmarks, including SWE-Bench Verified and Multi-SWE-Bench.
- Advanced agentic tool calling and search capabilities, excelling in BrowseComp, Wide Search, and RISE evaluations.
- Architect-style task decomposition that plans specifications, structure, and UI before implementation.
- Full-stack development support across 10+ programming languages and multiple platforms (Web, Android, iOS, Windows).
- High-speed inference with up to 100 tokens per second and 37% faster task completion compared to M2.1.
- Ultra cost-efficient deployment, with hourly operation costs as low as $0.30–$1 and significantly lower pricing than competing frontier models.
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/minimax-m2-5.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
