Mistral-Medium-3.5-128B
Mistral-Medium-3.5-128B is a 128 billion parameter chat model from mistralai, released March 31, 2026. Mistral-Medium-3.5-128B is an open-weights chat model with roughly 128 billion parameters.
by mistralai · 128B parameters
Best for
- complex multi-step reasoning
- agent orchestration with tool use
- long-document analysis and summarisation
Ways to use Mistral-Medium-3.5-128B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mistralai API key. osFoundry discovers Mistral-Medium-3.5-128B 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
Mistral-Medium-3.5-128B 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.
What hardware can run Mistral-Medium-3.5-128B
Mistral-Medium-3.5-128B runs on a single A100 80GB or H100 80GB at Q4 quantisation (~77 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~308 GB).
Mistral-Medium-3.5-128B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Mistral-Medium-3.5-128B
Is Mistral-Medium-3.5-128B free to use?
Mistral-Medium-3.5-128B 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 Mistral-Medium-3.5-128B commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does Mistral-Medium-3.5-128B need?
Approximately 77 GB at Q4 quantisation, or 308 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run Mistral-Medium-3.5-128B locally?
Yes. Mistral-Medium-3.5-128B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Mistral-Medium-3.5-128B best at?
Mistral-Medium-3.5-128B is well-suited to complex multi-step reasoning, agent orchestration with tool use, long-document analysis and summarisation.
How do I use Mistral-Medium-3.5-128B in osFoundry?
Paste your mistralai API key in the key dialog (or deploy the open weights for self-hostable models), assign Mistral-Medium-3.5-128B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mistralai on March 31, 2026. Source: https://huggingface.co/mistralai/Mistral-Medium-3.5-128B