MiniMax-M2.7-L3H5-DFlash
MiniMax-M2.7-L3H5-DFlash is a chat model from MirecX, released April 29, 2026. MiniMax-M2.7-L3H5-DFlash is an open-weights chat model.
by MirecX
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use MiniMax-M2.7-L3H5-DFlash in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MirecX API key. osFoundry discovers MiniMax-M2.7-L3H5-DFlash automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
MiniMax-M2.7-L3H5-DFlash is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
MiniMax-M2.7-L3H5-DFlash vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| MiniMax-M2.7-L3H5-DFlash | MirecX | — | — | Free (local) | Yes |
| tmbts09 | halen214 | — | — | Free (local) | Yes |
| glm-muse-v7 | MCult01 | — | — | Free (local) | Yes |
| gemma_4_distilled_v0 | ha4lool | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MiniMax-M2.7-L3H5-DFlash
Is MiniMax-M2.7-L3H5-DFlash free to use?
MiniMax-M2.7-L3H5-DFlash is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use MiniMax-M2.7-L3H5-DFlash commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run MiniMax-M2.7-L3H5-DFlash locally?
Yes. MiniMax-M2.7-L3H5-DFlash is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MiniMax-M2.7-L3H5-DFlash best at?
MiniMax-M2.7-L3H5-DFlash is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use MiniMax-M2.7-L3H5-DFlash in osFoundry?
Paste your MirecX API key in the key dialog (or deploy the open weights for self-hostable models), assign MiniMax-M2.7-L3H5-DFlash to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MirecX on April 29, 2026. Source: https://huggingface.co/MirecX/MiniMax-M2.7-L3H5-DFlash