Cyberax AI Playbook
cyberax.com
Model · Mistral AI · Text

Mistral Medium 3.5

Mistral's frontier-class multimodal model for agentic and coding use cases. It sits between the largest flagship tier and the lighter Small line while remaining open-weight.

Modality
Text
License
Modified MIT (Open weights)
Context window
256,000 tokens
Released
April 28, 2026
Last verified
October 28, 2026
Runs locally
Yes
Also handles
vision, code

What you need to run it

Mac
Yes. Any Apple Silicon Mac (M1 or newer) with at least 96 GB (128 GB recommended) of memory. Newer chips are faster, but memory is what decides whether it runs.
Windows / Linux PC
Server only. Needs a server with several graphics cards, about 96 GB (160 GB recommended) of video memory in total — not a desktop PC.
No graphics card
Not practical. Too slow without a graphics card or Apple Silicon.

Needs a 96 GB or 128 GB Mac (MLX and Ollama builds exist) and generates text slowly because all 128B parameters are used for every word.

Numbers are for: 4-bit build of the dense 128B model (about 78 GB). Our estimate from the model’s size — the maker publishes no figure.

Strengths

  • 256k context window
  • Strong fit for agentic workflows and code-heavy tasks
  • Open weights under a Modified MIT license

Weaknesses

  • Heavier deployment footprint than smaller open models
  • Still a newer model line with less third-party deployment guidance

Try it

WhereTypeNotes
Mistral La Plateforme hosted-api API key required
Mistral model card weights Modified MIT / open weights

Change log

  • — Added hardware requirements (Mac support, memory, NVIDIA). Source: size of mlx-community/Mistral-Medium-3.5-128B-4bit; Mistral model card lists llama.cpp and Ollama.
  • — Verified current against Mistral's models overview (v26.04, Modified MIT, still listed as active) and changelog; no changes since the last check.
  • — Release date corrected to 2026-04-28 from Mistral's own model card and changelog; the previous 2026-04-01 was inferred from the 26.04 version stamp. Verified current — Mistral now names it the alternative for both the retired Devstral 2 and the retired Magistral line, with reasoning exposed through the reasoning_effort parameter rather than a separate model.
  • — Added after verification of Mistral's current frontier multimodal lineup.