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Mistral Medium 3.5

Mistral Medium 3.5 publishes its weights, but at 128B parameters no consumer machine holds the checkpoint. This page covers the access paths that work and the open models that actually run locally.

PARAMETERS
128B
FORMAT
API
RUNS LOCALLY
No
BEST FOR
Coding, Quality, Tool calling

Why you can't run Mistral Medium 3.5 locally

At 128B parameters, a Q4-class build of Mistral Medium 3.5 would need roughly 77 GB — a 256GB Mac Studio could hold the weights in principle, but no registry-verified local build exists today. That figure is arithmetic, not opinion: 0.6 GB per billion parameters is the standard Q4 rule we apply across the whole catalog. The weights themselves are public (official source linked below); capacity, not licensing, is the wall.

What works instead: the hosted API. For most workloads, the open models below deliver the same job on hardware that fits under a desk.

Apr 30, 2026. 128B dense. SWE-Bench Verified 77.6%. Merges Magistral + Devstral 2 + Pixtral. GGUF available but 96GB+ Mac required. Open weights: mistralai/Mistral-Medium-3.5-128B on Hugging Face (modified MIT).

Hugging Face model card for Mistral Medium 3.5

What to run locally instead of Mistral Medium 3.5

More Mistral models

Frequently asked questions

Can I run Mistral Medium 3.5 locally?

Not on hardware you can buy. The weights are public, but Mistral Medium 3.5 is a 128B-parameter model, and a Q4-class build would need roughly 77 GB — a 256GB Mac Studio could hold the weights in principle, but no registry-verified local build exists today. Until the ecosystem ships a smaller official build, the API or a smaller open model is the practical path.

How do I access Mistral Medium 3.5?

Through the vendor's hosted API. The official source is linked on this page.

What is the best local alternative to Mistral Medium 3.5?

Qwen3 235B A22B is the strongest local model we track (235B, from 192 GB machines), with Qwen3.5 122B-A10B Instruct close behind. Both run on a single high-memory Mac or GPU — see their pages for exact hardware.

Cite this page

ModelFit: Mistral Medium 3.5 — specs, memory math and hardware verdicts.
https://modelfit.io/models/mistral-medium-3.5/ (dataset updated 2026-09-03, CC BY 4.0).