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AI model · Mistral AI

Mistral Large 4

Mistral AI released Mistral Large 4 as a public preview on 6 Oct 2026. API list price: $0.70 per million input tokens and $2.10 per million output tokens. Its weights are public.

The record

each fact with its source

Released

6 Oct 2026

Flagship in public preview on the API from 6 Oct; an improved checkpoint followed as open weights on 29 Oct The lab’s announcement

API list price, per million tokens

$0.70 in $2.10 out

Standard tier. Cached input $0.07.

Mistral AI’s pricing page, read 31 Oct 2026

On the free plan?

Open weights

The weights are public. The Access Gap, which checks whether new models reach the free app plan, does not track this one.

Mistral AI’s other recent models

data through 30 Oct 2026

  1. 29 Oct 2026 Mistral Large 4 (open weights) Improved Mistral Large 4 after three more weeks of reinforcement learning, released as open weights under the Mistral Ecosystem Open-Weight licence; list price set at $0.70 in and $2.10 out
  2. 28 Apr 2026 Mistral Medium 3.5 Mid tier, powering remote coding agents; on the API from 28 Apr, launch post 22 May
  3. 2 Dec 2025 Mistral Large 3 Mixture-of-experts flagship, open weights and on the API from launch
  4. 17 Sep 2025 Magistral Medium 1.2 Multimodal update of the Medium-tier reasoning model, on the API
  5. 12 Aug 2025 Mistral Medium 3.1 Medium-tier update on the API, improving tone and performance
  6. 24 Jul 2025 Magistral Medium 1.1 Update of the Medium-tier reasoning model, on the API
  7. 10 Jun 2025 Magistral First reasoning models: Magistral Medium in public preview on the API and Le Chat, Magistral Small as open weights
  8. 7 May 2025 Mistral Medium 3 Mid-tier flagship, on the API from launch

Mistral Large 4 in Mistral AI’s full release log · its row on the release chart

Release dates and notes come from the site’s release record, data through 30 Oct 2026; each links the lab’s own announcement. Prices are list prices as the lab’s pricing page printed them on the day shown, before any discount. Something wrong? Tell us.