For Developers/Models/Mistral Large 4
Open SourcePreviewMistral AIReleased 2026-10

Mistral Large 4

Mistral's 1-trillion-parameter open-weight flagship, nicknamed 'le Chonk'

Context window

1M

Input / 1M tokens

$1.36

Output / 1M tokens

$4.18

Provider

Mistral AI

Cached input $0.14 per 1M. Mistral docs also list a 50% lower rate ($0.68/$2.09) that Artificial Analysis describes as a launch discount. OpenRouter serves a 512K context window. · Data verified 2026-10-07

Mistral Large 4 (October 2026) is a natively multimodal Mixture-of-Experts model with about 1 trillion total parameters and 49 billion active per token (Mistral's docs list 1.05T total and 52B active). Mistral calls it its largest and most capable model and pitches it on European AI sovereignty, with private-cloud and on-premises deployment. It opened as a public preview on October 6; open weights are promised for late October, with the license not yet announced. Independent testing places it as the strongest model built outside the US and China, though still well behind the closed frontier.

Capability index

Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.

Coding
70
Reasoning
74
Math
72
Multimodal
72
Long context
85
Speed
70
Cost efficiency
90

How to access it

Public preview on the Mistral API (model ID mistral-large-4-0, alias mistral-large-4), served from EU infrastructure. Open weights are expected by the end of October 2026; the license has not been announced.

Strengths

  • ✓Open weights promised: self-host a 1T-parameter model on your own infrastructure
  • ✓Low API price for its size ($1.36/$4.18 per 1M tokens)
  • ✓Strong cyber results: 93% on Cybench, 82% on a vulnerability reproduce-and-patch test (Mistral-reported)
  • ✓Trained on 160+ languages including all EU official languages
  • ✓EU-hosted inference for data sovereignty requirements

Best for developers who...

European organizations with data sovereignty requirementsTeams planning to self-host a frontier-class open modelMultilingual workloads across EU languagesDefensive security tooling

When to choose it (and when not to)

Reach for Mistral Large 4 when...

  • →You need an open-weight frontier-class model you can eventually self-host
  • →EU data residency or sovereignty is a hard requirement
  • →You want strong multilingual European-language coverage at a low token price

Look elsewhere if...

  • ✕You need the strongest available coding or reasoning model
  • ✕You need a finalized license today (it has not been published yet)

Benchmarks

BenchmarkScoreNotes
DeepSWE v1.161.7%Mistral-reported
Terminal-Bench 428.3%Mistral-reported
AutomationBench59.9%Mistral-reported
Cybench93%Mistral-reported
Artificial Analysis Intelligence Index38Third-party; highest outside the US and China, vs 58 for Claude Opus 5.5

Source: Mistral AI announcement

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