Mistral AI

Paris model lab with open weights, cheap APIs and the Vibe agent

LLMs & Chat Freemium Has API Open Source
Researched · Published · Reviewed
RECATOOLS Score
8.4 / 10
Capability
8
Value for money
9
Ease of use
8
ASEAN readiness
7
API quality
9
Founded
2023
HQ
Paris, France
Users
500k+ API users
Launched
Sep 2023
Developer
Arthur Mensch, Guillaume Lample, Timothee Lacroix

Overview

Mistral AI is a Paris-based AI company that builds open-weight and proprietary language, vision, speech and OCR models, sells them through a pay-per-token API, and runs Vibe, its assistant for work and coding (formerly Le Chat). Its October 2026 headline model is the Mistral Large 4 preview.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 14 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
$0
Vibe on web and mobile
  • Limited messages and web searches
  • Limited coding sessions
  • Basic image generation and editing
  • 100+ connectors
Team
$24.99/user/month
Pricing page also shows a $50/month base figure
  • Even higher limits
  • Up to 30GB storage per user
  • Domain name verification
  • Data export
Enterprise
Quoted on request
Private deployments
  • Custom models, agents and workflows
  • Audit logs
  • SAML SSO
  • White label
API
From $0.10 per million tokens
Ministral 3 3B; Large 3 $0.50/$1.50; Medium 3.5 $1.50/$7.50
  • Batch processing at 50% off
  • Cached input up to 90% off
  • OCR priced per 1,000 pages

API pricing (pay as you go)

Model Input Cached input Output
Mistral Medium 3.5 $1.50 — $7.50
Mistral Large 3 $0.50 — $1.50
Mistral Small 4 $0.15 — $0.60
Ministral 3 (14B) $0.20 — $0.20
Ministral 3 (8B) $0.15 — $0.15
Ministral 3 (3B) $0.10 — $0.10
Codestral $0.30 — $0.90
GLM 5.2 Third-party model served on Mistral's API $1.40 $0.14 $4.40

Rates in USD, per 1M tokens unless a row says otherwise. Page also offers EUR. Batch is 50% off, cached input is up to 90% off, and regional (EU) inference is +10%. Devstral and Magistral are not listed on the API pricing page. Checked 16 Sep 2026 against the provider’s price page.

Use cases

Frontier LLM API Open-weights deployment European AI

What you can produce with Mistral AI

  • Self-hosted deployments of Apache 2.0 models such as Small 4, Large 3 and Ministral 3
  • Low-cost API inference, from $0.10 per million tokens on Ministral 3 3B
  • Agentic coding sessions through the Vibe CLI, VS Code and JetBrains plugins and remote agents
  • Long multi-step work tasks across inbox, calendar and connectors in Vibe Work Mode
  • Document text and structure extracted with Mistral OCR
  • Speech transcription and text-to-speech with the Voxtral models
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RECATOOLS Verdict

Mistral is a good choice when you want models you can host yourself or buy cheaply by the token: Small 4, Large 3 and the Ministral 3 models are Apache 2.0, and API rates sit well below most US frontier labs. The Vibe agent now bundles chat, research, documents and a coding agent across CLI, IDE and web for $14.99 a month.

Read each model's licence rather than trusting the "open" label, since Medium 3.5 uses a modified MIT licence and Mistral's own FAQ adds commercial terms. Large 4 is still a preview until its weights ship. Worth shortlisting for cost-sensitive or self-hosted deployments.

Desk research by RECATOOLS from public sources, written with AI assistance — not a hands-on test. How we review

What we found

Mistral AI is a Paris company that released its first model, Mistral 7B, in September 2023 and its chat assistant, Le Chat, in February 2024. On 28 May 2026 Le Chat became Vibe, one agent for both office work and coding, with Work and Code modes, a command-line tool, VS Code and JetBrains plugins, and every conversation and plan carried over. On 6 October 2026 Mistral opened a public API preview of Mistral Large 4, a natively multimodal model with one trillion parameters, 52 billion of them active per token, trained on Mistral's own European GPUs; the company says the weights follow by the end of October.

Licences need checking model by model. Mistral's model overview lists Small 4, Large 3 and the Ministral 3 models under Apache 2.0, Medium 3.5 under a modified MIT licence, Voxtral TTS under a non-commercial licence, and Codestral, OCR and the embedding models as proprietary. Its own pricing FAQ muddies this by saying commercial deployment of open-weight models requires a Mistral licence, which sits oddly with Apache 2.0, so read the card for the model you plan to ship. The Magistral reasoning and Devstral coding lines are now on the retired list, with Medium 3.5 and Small 4 named as replacements.

API prices are low. Large 3 costs $0.50 in and $1.50 out per million tokens, Medium 3.5 $1.50 and $7.50, Small 4 $0.15 and $0.60, and Ministral 3 3B $0.10 each way, with Large 4 at a preview sale price of $0.68 and $2.09. Batch jobs cost half, and cached input up to 90% less. Vibe is free with limits; Pro is $14.99 a month before tax, or $5.99 for verified students, and Team is $24.99 per user.

Mistral announced a €3 billion Series D on 8 September 2026 at a post-money valuation above €21 billion, led by Samsung Electronics, and says it serves more than 125 enterprises. For ASEAN teams the draw is self-hostable weights at low API rates; its sovereignty pitch is built for Europe.

Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.

Notable facts

  • Mistral 7B was released via a BitTorrent magnet link — an unusual distribution method that made it impossible for the company to take the model back once released.
  • All three Mistral co-founders previously worked at Google DeepMind or Meta AI Research, making the team among the most experienced in European AI.
  • Mixtral 8x7B is technically a 47-billion-parameter model, but only 13B parameters are active per inference, making it extremely cost-efficient to run.

Frequently asked questions

Some models are open-weight (Mistral 7B, Mixtral 8x7B) — downloadable and modifiable. Mistral Large and Mistral Small are proprietary, API-only.
Both are open-weight. Mistral models tend to perform better than equivalently sized Llama models, and Mixtral's MoE architecture is unique to Mistral.
Yes. Open-weight models use the Apache 2.0 licence, which permits commercial use without restrictions.
Mixtral 8x7B is Mistral's mixture-of-experts model that routes each token through 2 of 8 expert networks, achieving high quality at lower compute cost.
Mistral operates data centres in Europe, making it attractive for EU organisations with data residency requirements.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including Mistral AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Mistral AI unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to Mistral AI directly →

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