Monday, 12 October 2026
Anawords
Models & Launches

Mistral Large 4 enters preview with 1 trillion parameters, open weights due this month

The French lab’s biggest model is on its API now at $1.36 per million input tokens. Its benchmark scores are Mistral’s own and not yet checked independently.

Anawords graphic: Mistral Large 4. 1 trillion parameters, API preview open. Confirmed by official source.
Built by Anawords from the facts in this story. Not an official company image. Graphic: Anawords

How this story was checked

  1. ResearchedWith AI assistance · 3 sources
  2. AI source checkEach sentence matched to its source
  3. Editor approvalMayank Sahu · 11 Oct, 19:47
  4. Published11 Oct, 19:47
Read the research behind this story4 sources read · 3 used · what we could not verify · published 11 Oct, 20:01 →

In short

Mistral AI opened a public API preview of Mistral Large 4 on 6 October. It is a mixture-of-experts model with 1 trillion total parameters. Mistral says open weights will follow by the end of October.

Public API preview opened on 6 October 2026.1
Mixture-of-experts model with 1 trillion total and 52 billion active parameters.1
List price is $1.36 per 1M input tokens and $4.18 per 1M output tokens.1

What launched

Mistral AI released Mistral Large 4 as a public preview on its API on 6 October 2026.1 Mistral describes it as a mixture-of-experts model with 1 trillion total parameters and 52 billion active parameters.1 Some coverage cites 49 billion active parameters from launch material, but Mistral's own page says 52 billion.12

Mistral says the model was trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in its own European data centres, and that it is fluent in more than 160 languages.1

Price

Mistral lists the preview at $1.36 per million input tokens and $4.18 per million output tokens.1 eWeek reports a two-week launch discount to $0.68 and $2.09, and notes that the list prices are well above Mistral Large 3's $0.50 and $1.50.2

Open weights

Mistral says downloadable weights are due by the end of October.1 VentureBeat reports a target date of 27 October and an expected custom Mistral licence.3 Mistral's announcement does not state the licence.

The benchmark claims

Mistral reports 61.7% on DeepSWE v1.1 and 49.8% on a Coding Agent Index, among other scores.2 These are the company's own numbers. VentureBeat notes that several other models score higher on the live DeepSWE leaderboard, and that Large 4 was not yet listed on independent leaderboards when it reported.3

What it means for developers

The preview is available through Mistral's developer console. Teams already on Mistral Large 3 should compare the higher list price against their workloads before switching, and watch for the open-weights licence if they want to self-host.

Fact ledger

How labels work
Confirmed · 4
Public API preview opened on 6 October 2026.Source 1
Mixture-of-experts model with 1 trillion total and 52 billion active parameters.Source 1
List price is $1.36 per 1M input tokens and $4.18 per 1M output tokens.Source 1
Open weights are due by the end of October, Mistral says.Source 1
Company claim · 2
Trained on 3,800 NVIDIA Grace Blackwell GPUs in Europe.Source 1
Scores 61.7% on DeepSWE v1.1.Source 2
Unconfirmed · 1
A two-week launch discount brings prices to $0.68 and $2.09.Source 2
Not known · 1
The licence for the open weights.Not announced

Questions readers ask

Is Mistral Large 4 open source?

Not yet. Mistral says the weights will be released by the end of October. The licence has not been published.

How much does Mistral Large 4 cost?

The list price is $1.36 per million input tokens and $4.18 per million output tokens.

Sources

  1. 1Mistral AI: Introducing Mistral Large 4
    Checked 11 Oct 2026
    OFFICIAL
  2. 2eWeek: Mistral Large 4 enters preview
    Checked 11 Oct 2026
    OUTLET
  3. 3VentureBeat: Mistral debuts Large 4
    Checked 11 Oct 2026
    OUTLET

Updates and corrections

v111 Oct 2026, 19:47First published. Sources checked by AI; approved for publication by the editor.

Written and approved by

Mayank Sahu, Founder & Editor

Mayank Sahu is an SEO expert who loves using AI and learning how it works. He started Anawords because he felt the market was missing the best AI articles: clear, sourced and honest about what is confirmed and what is only claimed. He leads the research for each story with AI tools, checks it against its sources and approves it before it goes live. Each story says how it was checked.

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