Devoured - April 30, 2026
Mistral Medium 3.5 powers remote Vibe agents (6 minute read)

Mistral Medium 3.5 powers remote Vibe agents (6 minute read)

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Mistral releases Medium 3.5, a 128-billion parameter open-weight model that powers cloud-based coding agents to run long asynchronous tasks independently.

What: Mistral Medium 3.5 is a dense 128-billion parameter model with a 256k context window that handles instruction-following, reasoning, and coding in a single model, released as open weights under a modified MIT license and deployable on as few as four GPUs.
Why it matters: The model enables practical cloud-based coding agents that run asynchronous tasks without requiring constant developer supervision, addressing the bottleneck of local-only assistants while achieving strong performance (77.6% on SWE-Bench Verified, outperforming larger models).
Takeaway: Try the model via Mistral Vibe CLI or Le Chat for async coding tasks like refactors and test generation, or deploy the open weights from Hugging Face for self-hosting starting at four GPUs.
Deep dive
  • Mistral Medium 3.5 merges instruction-following, reasoning, and coding capabilities into a single 128B dense model with a 256k context window, marking Mistral's first flagship merged model
  • The model achieves 77.6% on SWE-Bench Verified, ahead of Devstral 2 and Qwen3.5 397B A17B, and scores 91.4 on τ³-Telecom for agentic capabilities
  • Self-hosting is practical on as few as four GPUs, making it accessible for organizations wanting to run their own infrastructure rather than relying on API calls
  • Reasoning effort is configurable per request, allowing the same model to handle quick chat responses or complex multi-step agentic workflows without reloading
  • The vision encoder was trained from scratch to handle variable image sizes and aspect ratios, rather than forcing images into fixed dimensions
  • Vibe remote agents move coding sessions to the cloud where they run independently, in parallel, and notify developers when complete, eliminating the need to keep local terminals open
  • Developers can "teleport" ongoing local CLI sessions to the cloud mid-task, preserving session history, task state, and approval settings for seamless continuation
  • Each coding session runs in an isolated sandbox supporting broad edits and installs, with integration into GitHub, Linear, Jira, Sentry, Slack, and Teams for pull requests and notifications
  • Work mode in Le Chat uses the new model to execute complex multi-step tasks like cross-tool workflows, research synthesis, and inbox triage with visible tool calls and approval gates for sensitive actions
  • The model is priced at $1.5 per million input tokens and $7.5 per million output tokens via API, with open weights available on Hugging Face under a modified MIT license
  • Mistral built Vibe originally for internal use, then for enterprise customers, and is now opening it to all developers for launching coding tasks from the web without local terminal dependencies
  • The system is designed for high-volume, well-defined work like module refactors, test generation, dependency upgrades, and CI investigations that take developer time but not judgment
Decoder
  • Dense model: A neural network architecture where all parameters are used for every inference, as opposed to sparse or mixture-of-experts models that activate only subsets of parameters
  • SWE-Bench Verified: A benchmark measuring how well AI models can solve real-world software engineering tasks from GitHub issues, with the "Verified" version being a curated subset with confirmed correct solutions
  • Context window: The maximum amount of text (measured in tokens) that a model can process at once, including both input and output; 256k tokens is roughly 190,000 words
  • τ³-Telecom: A benchmark for measuring agentic capabilities, specifically how well models can perform multi-step tasks with tool usage
  • Open weights: The trained model parameters are released publicly, allowing anyone to download and run the model, though this differs from fully "open source" which would include training code and data
  • NVIDIA NIM: NVIDIA Inference Microservice, a containerized solution for deploying AI models at scale on NVIDIA GPUs
Original article

Remote agents in Vibe. Powered by Mistral Medium 3.5.

Introducing Mistral Medium 3.5, remote coding agents in Vibe, plus new Work mode in Le Chat for complex tasks.

Coding agents have mostly lived on your laptop. Today we're moving them to the cloud, where they run on their own, in parallel, and notify you when they're done. You can start them from the Mistral Vibe CLI or directly in Le Chat, offloading a coding task without leaving the conversation. 

Powering this is Mistral Medium 3.5 in public preview, our new default model in Mistral Vibe and Le Chat, built to run for long stretches on coding and productivity work. The new Work mode in Le Chat (Preview) extends this with a powerful agent for complex, multi-step tasks like research, analysis, and cross-tool actions.

Highlights.

  1. Mistral Medium 3.5, a new flagship model that merges instruction-following, reasoning, and coding into a single 128B dense model. Released as open weights, under a modified MIT license.
  2. Strong real-world performance at a size that runs self-hosted on as few as four GPUs.
  3. Mistral Vibe remote agents for async coding: sessions run in the cloud, can be spawned from the CLI or Le Chat, and a local CLI session can be teleported up to the cloud.
  4. Start Mistral Vibe coding tasks in Le Chat. Sessions run on the same remote runtime and keep going while you step away.
  5. Work mode in Le Chat runs on a new agent, powered by Mistral Medium 3.5, that works through multi-step tasks, calling tools in parallel until the job is done.

Mistral Medium 3.5.

Mistral Medium 3.5 is our first flagship merged model, available in public preview. It is a dense 128B model with a 256k context window, handling instruction-following, reasoning, and coding in a single set of weights. It performs strongly in real-world use, with self-hosting possible on as few as four GPUs. Reasoning effort is now configurable per request, so the same model can answer a quick chat reply or work through a complex agentic run. We trained the vision encoder from scratch to handle variable image sizes and aspect ratios.

Mistral Medium 3.5 scores 77.6% on SWE-Bench Verified, ahead of Devstral 2 and models like Qwen3.5 397B A17B. It also has strong agentic capabilities and scores 91.4 on τ³-Telecom.

The model was built for long-horizon tasks, calling multiple tools reliably, and producing structured output that downstream code can consume. It is the model that made async cloud agents in Vibe practical to ship.

Mistral Medium 3.5 becomes the default model in Le Chat. It also replaces Devstral 2 in our coding agent, Vibe CLI.

Vibe remote agents.

From today, coding sessions can work through long tasks while you're away. Many can run in parallel, and you stop being the bottleneck on every step the agent takes.

You can start the cloud agents from the Mistral Vibe CLI or from Le Chat. While they run, you can inspect what the agent is doing, with file diffs, tool calls, progress states, and questions surfaced as you go. Ongoing local CLI sessions can be teleported up to the cloud when you want to leave them running, with session history, task state, and approvals carrying across.

Vibe sits between the systems engineering teams already use, with humans in the loop wherever they're needed. It plugs into GitHub for code and pull requests, Linear and Jira for issues, Sentry for incidents, and apps like Slack or Teams for reporting.

Each coding session runs in an isolated sandbox, including broad edits and installs. When the work is done, the agent can open a pull request on GitHub and notify you, so you review the result instead of every keystroke that produced it.

It fits the high-volume, well-defined work that takes a developer's time without taking their judgment: module refactors, test generation, dependency upgrades, CI investigations, as well as bug fixes.

We use Workflows orchestrated in Mistral Studio to bring Mistral Vibe into Le Chat. We originally built this for our own in-house coding environment, then for our enterprise customers. Today the capability opens up to everyone, who can now launch coding tasks from the web. And without being tied to a local terminal, a developer can run several in parallel.

You can start coding sessions directly in Le Chat, so a task described in chat runs on the same remote runtime as the CLI and the web, and comes back later as a finished branch or a draft PR.

New Work mode in Le Chat (Preview).

Work mode is a powerful new agentic mode for complex tasks in Le Chat, powered by a new harness and Mistral Medium 3.5. The agent becomes the execution backend for the assistant itself, so Le Chat can read and write, use several tools at once, and work through multi-step projects until it completes what you've asked.

Here's what Work mode enables you to do today.

  1. Cross-tool workflows: catch up across email, messages, and calendar in a single run; prepare for a meeting with attendee context, latest news, and talking points pulled from your sources.
  2. Research and synthesis: dive into a topic across the web, internal docs, and connected tools, then produce a structured brief or report you can edit before exporting or sending.
  3. Triage your inbox and draft replies; create issues in Jira from your team and customer discussions; send a summary to your team on Slack.

Sessions persist longer than a typical chat reply, so an agent can keep going across many turns, through trial-and-error, and through to completion. In Work mode, connectors are on by default rather than chosen manually, which lets the agent reach into documents, mailboxes, calendars, and other systems for the rich context it needs to take correct action.

Every action the agent takes is visible: you see each tool call and the thinking rationale. Le Chat will ask for explicit approval—based on your permissions—before proceeding with sensitive tasks like sending a message, writing a document, or modifying data.

Get started.

Mistral Medium 3.5 is available today in Mistral Vibe and Le Chat, and powers remote coding agents and Work mode in Le Chat on the Pro, Team, and Enterprise plans.

Through API, it's priced at $1.5 per million input tokens and $7.5 per million output tokens. Open weights are on Hugging Face under a modified MIT license.

It is also available for prototyping, hosted on NVIDIA GPU-accelerated endpoints on build.nvidia.com and as a scalable containerized inference microservice, NVIDIA NIM.