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Mistral previews Large 4, a 1T-parameter multimodal model, then opens its weights

Mistral Large 4 at a glance

Mistral Large 4 launched as a public API preview on October 6, 2026, with open weights following later that month under a modified MIT license.

Current standing

As of

Rank
#30of 43 models

Mistral Large 4 (High) · 26.1 on the Artificial Analysis Intelligence Index v5.0.1 (opens in a new tab)

Recorded at publication
26 (v5.0.1)

as of

Current leader
Gemini 4 Carbon (Google) · 60

Computed from our daily snapshot; it changes as new models are measured. Mistral previews Large 4, a 1T-parameter multimodal model, then opens its weights

What changed with Mistral Large 4

Mistral AI opened a public preview of Mistral Large 4 on October 6, 2026: a natively multimodal model with about 1 trillion total and 52 billion active parameters, strong at document and chart analysis. Pricing is $0.70 input, $0.07 cached input, and $2.10 output per 1M tokens.

A later Mistral post (dated October 29, 2026 on Mistral's news index) released the weights on Hugging Face under the Mistral Ecosystem Open-Weight license, a modified MIT license that requires a separate commercial license for model-as-a-service providers. It is also offered via Mistral's API, OpenRouter, NVIDIA endpoints, and Microsoft Foundry.

Mistral Large 4 benchmarks and pricing

Values are copied from the linked source on the date shown. They are not IA Compa measurements.

Artificial Analysis Intelligence Indexas of · Source for Artificial Analysis Intelligence Index: artificialanalysis.ai (opens in a new tab)
26 (v5.0.1)
Output speedas of · Source for Output speed: artificialanalysis.ai (opens in a new tab)
113 tokens/s
Input price per 1M tokensas of · Source for Input price per 1M tokens: mistral.ai (opens in a new tab)
$0.70
Output price per 1M tokensas of · Source for Output price per 1M tokens: mistral.ai (opens in a new tab)
$2.10

How it compares

Other models in the same category that we have covered, using each model's latest recorded value. (Models)

Intelligence indexhigher is better
Output speed (tokens/s)higher is better
Input price (USD per 1M tokens)lower is better
Output price (USD per 1M tokens)lower is better
Context window (tokens)higher is better

Mistral Large 4 reasoning effort

Artificial Analysis tests this model at several reasoning-effort settings. Higher effort usually scores higher but costs more and answers more slowly.

Mistral Large 4 by effort level

Higher effort lets the model think longer. Here is what each setting scores, how fast it writes, and what it costs on Artificial Analysis.

Intelligence Index · higher is better
Cost to run the index · lower is betterHover, tap or focus a point for exact numbers.
Mistral Large 4: Artificial Analysis results by reasoning effort
EffortIntelligence IndexOutput speed (tokens per second)Cost to run the indexBlended price (3:1) (per 1M tokens)Price in / out (per 1M tokens)First token
High (Mistral Large 4 (high)) · Best: highest effort with a score, used in the leaderboard26113$1,360$1.05$0.70 / $2.103.1 s
Medium (Mistral Large 4 (medium))23103$936$1.05$0.70 / $2.102.8 s
Price: $0.70 / $2.10 per 1M input / output tokens at every effort.Artificial Analysis · as of Nov 5, 2026 (opens in a new tab)

Benchmarked by AA: high · medium of 3 available

Where to compare Mistral Large 4

Independent leaderboards and official resources for comparing this model yourself. Rankings change often; each site shows its own current data.

Why Mistral Large 4 matters for businesses

Artificial Analysis lists it at 26 on Intelligence Index v5.0.1 with about 113 output tokens per second. For European clients or anyone who must self-host, it is one of the largest open-weight options, at a low hosted price.

Mistral Large 4 updates since publication

Dated changes since publication. The original article text above is kept as written on its date.

  1. Update (Updated)

    The open weights released on October 29, 2026 are an improved checkpoint with three more weeks of reinforcement learning. Mistral reports 41% on Terminal-Bench 4.0, up from 28% in the preview. Reasoning modes are Low (replacing None), Medium and High, with High as the default.

    mistral.ai (opens in a new tab)

Sources for this story

  1. Official
  2. Official
  3. Mistral Large 4 model analysis (opens in a new tab)

    Artificial Analysis · artificialanalysis.ai

    Benchmark

Last verified: . IA Compa summarizes public announcements for business readers. We are not affiliated with the companies mentioned. Always confirm details, pricing, and availability with the official source.

  • #llm
  • #mistral
  • #open-weights
  • #multimodal

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