Mistral Vibe v3.1.1
Mistral Vibe v3.1.1 adds vibe-acp, Vim modes, sticky prompt, and pre-agent, notification, and session-start hooks.
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Every row from Mistral in The Deploy Log: 30 rows, newest first, each linking the publisher's own page. The newest shipped are Mistral Vibe v3.1.1 and mistral-vibe v3.1.0. 18 of them have a shipped date, the first and the newest . They fall in 12 months. The tables below count them by lane, month and platform.
| Lane | Rows |
|---|---|
| Models and APIs | 12 |
| Tools and products | 10 |
| Robotics, hardware and chips | 1 |
| Figure | Value |
|---|---|
| First row dated | |
| Newest row dated | |
| Median days between release days, publisher's dates only | 5 |
| Rows with no publisher's date | 12 |
| Platform | Rows |
|---|---|
| Hugging Face | 2 |
Mistral Vibe v3.1.1 adds vibe-acp, Vim modes, sticky prompt, and pre-agent, notification, and session-start hooks.
Added file autocomplete toggle, /context command with token estimates, and monthly usage display.
Release v3.0.4 adds /release-notes, preserve_api_base, VIBE_TERMINAL_KEY, credential source display, system prompt file replacement, and output token caps.
Mistral released the weights of Mistral Large 4, a 1-trillion-parameter multimodal model, after three weeks of additional reinforcement learning. It leads open-weight coding on FrontierCode 2.0 with 19.7% and Terminal-Bench 4.0 with 41%, and scores 51% on the Artificial Analysis Cyber Index.
Skills added or edited on disk are picked up by running sessions without /reload.
Added enable_mouse_capture, max_subagents, and max_concurrent_subagents settings; VS Code connectors needing no login now connect in one click.
Mistral Vibe v3.0.1 adds enable_auto_approve and compaction settings including compaction_max_output_tokens 80000 and output_token_reserve 4096.
Voxtral 3 voice agent SDK and speech models in 50+ languages, available via EU-hosted API or self-deployment.
Mistral Vibe v3.0.0 adds model compaction threshold reporting, project/session import, Lean agent install commands, and curated model catalog support.
Mistral released Timestral, a family of time-series foundation models from 5M to 209M parameters that ranks first on GIFT-Eval, TIME and fev-bench and runs on CPUs without a GPU.
Mistral v2.26.1 adds session read-only status, proxy setup, narrator, and plugin commands.
Mistral released a 51-class Arabic language and dialect classifier on Hugging Face with download and Python usage instructions.
Mistral released a 4.4B parameter streaming Arabic speech-to-text model with 8.82% average CER at 480 ms delay.
Mistral Vibe v2.26.0 adds built-in plugin discovery, image attachment warnings, background process panel, and owner-only .env fallback.
Python client v3.0.0 released with 24 stable API surface removals.
Mistral Agentic Search improves accuracy up to 3x on FinanceBench (26.7% to 86%) and cuts p90 latency up to 39.6% and token use by one-third.
Shieldstral is a 3B open-weights multimodal safety classifier under Apache 2.0 that matches or outperforms open guard models up to 7x its size on text safety, refusal detection, policy adaptability, and multimodal benchmarks. It runs on a single 16GB NVIDIA GPU.
Robostral Navigate is an 8B model that navigates robots with a single RGB camera, achieving 76.6% success on unseen R2R-CE benchmarks and beating the best depth or multi-camera system by 4.5 points.
Mistral Studio now provides a system of record for Prompts and Skills, with immutable versions, rollback, clear ownership, classification labels, and audit logs.
Leanstral 1.5 saturates miniF2F at 100%, solves 587/672 PutnamBench problems, and achieves 87% on FATE-H and 34% on FATE-X, at about $4 per problem against an estimated $300 or more for Seed-Prover 1.5 high.
Mistral OCR 4 supports 170 languages across 10 language groups, returns bounding boxes, block classification, and inline confidence scores, and runs in a single container for self-hosted deployments, priced at $4 per 1,000 pages with a 50% Batch API discount to $2 per 1,000 pages.
Mistral released Search Toolkit in public preview, a composable framework for building production search pipelines with ingestion, retrieval, and evaluation in one interface.
Workflows is released in public preview as the orchestration layer for enterprise AI, built on Temporal's durable execution engine. It includes durable execution, observability in Studio, human-in-the-loop approval via a single wait_for_input() call, and deployment where workers run in your environment.
Mistral released Spaces, a CLI built for humans and agents, with every interactive input having a flag equivalent and context files for agent usability.
A 4B-parameter text-to-speech model with 70ms latency for a 10-second sample, 9 languages, and voice adaptation from a 3-second reference. Priced at $0.016 per 1k characters.
Forge introduced as a system for enterprises to build models grounded in proprietary knowledge. It supports pre-training, post-training, and reinforcement learning, plus dense and MoE architectures.
Voxtral Mini Transcribe V2 is available now via API at $0.003 per minute, and Voxtral Realtime is available via API at $0.006 per minute and as open weights on Hugging Face under Apache 2.0.
Mistral released Mistral Vibe 2.0, a terminal-native coding agent powered by the Devstral 2 model family, with custom subagents, multi-choice clarifications, slash-command skills, and unified agent modes on Le Chat Pro and Team plans.
Mistral 3 ships three dense models at 14B, 8B, and 3B parameters plus Mistral Large 3, a sparse mixture-of-experts with 41B active and 675B total parameters, all under Apache 2.0. The 14B reasoning variant hits 85% on AIME '25.
Mistral AI Studio packages Observability, Agent Runtime, and AI Registry into one platform for building, evaluating, and running AI in production, with hybrid, dedicated, and self-hosted deployments.
One line every time AI actually ships, around the clock, free on Threads and Bluesky. Every one is in The Deploy Log with its source.