Mistral

2026-05-27

RESEARCH · 1 SOURCE · Mistral AI

Mistral acquires Emmi AI and doubles down on industrial 'Physics AI' research

Mistral has acquired Emmi AI and says it will intensify work on foundational 'Physics AI' for industries that shape the physical world (aerospace, automotive, semiconductors, energy). The announcement highlights several published technical contributions tied to the effort, including a new CFD dataset of ~30,000 3D transonic wing simulations, the Anchored-Branched Universal Physics Transformer (AB-UPT) that can handle raw geometry at ~9M surface and ~140M volume cells on one GPU, neural surrogates for large-scale multi-physics processes (enabling real-time simulation use-cases like fluidised bed reactors), and a framework for scaling neural operators across grid and particle simulations.

7.0

2026-05-22

MODELS · 1 SOURCE · Mistral AI

Mistral launches Medium 3.5 (128B) open-weights in public preview and adds cloud remote agents to Vibe/Le Chat

Mistral Medium 3.5, a 128B dense ‘merged’ model with a 256k context window and open weights under a modified MIT license, is available in public preview and becomes the default in Le Chat and Vibe coding flows. The update also introduces cloud remote agents for Mistral Vibe and a new Work mode in Le Chat for multi-step tool-driven tasks; pricing is $1.5 per million input tokens and $7.5 per million output tokens, and the model claims strong benchmark and agentic scores (e.g., 77.6% SWE-Bench Verified).

8.0

2026-05-22

COMPANIES · 1 SOURCE · Mistral AI

Mistral launches Connectors and custom MCP API/SDK in Studio (Public Preview)

Mistral has added Connectors to Studio (Public Preview), exposing all built-in connectors and custom MCPs via API/SDK for use with model and agent calls. The release also introduces direct tool calling and human-in-the-loop approval flows, plus central registration so connectors are discoverable and reusable across Mistral apps (LeChat, AI Studio, with Vibe coming soon).

7.0

2026-03-16

MODELS · 1 SOURCE · Mistral AI

Mistral releases Small 4: 119B MoE multimodal model with 256k context (Apache 2.0)

Mistral announced Mistral Small 4, a 119B-parameter hybrid Mixture-of-Experts model (128 experts, 4 active) that accepts text and image inputs, offers a 256k context window, and includes a configurable reasoning_effort parameter; it is released under the Apache 2.0 license. The company says Small 4 unifies capabilities from its Magistral, Pixtral, and Devstral lines, targets chat, coding/agentic, and complex-reasoning use cases, claims substantial latency and throughput gains versus Mistral Small 3, and is available across vLLM, llama.cpp, SGLang, Transformers and other runtimes.

9.0

2026-03-11

CODING · 1 SOURCE · Mistral AI

Proto team built a Vibe agent that autonomously writes RSpec tests for Rails

Applied AI's Proto team built an autonomous agent on top of Mistral's open-source coding assistant Vibe that reads Rails code, generates or improves RSpec tests, validates style and coverage (via RuboCop and SimpleCov), and runs in CI/CD with no human intervention, operating in parallel across files. They used repository-level AGENTS.md for context and separate file-type 'skills' to improve test completeness and quality, raising their internal quality score from 0.68 to 0.74.

6.0