# Mistral Large 4 preview ranks top outside US and China

> Mistral's new trillion‑parameter model scores 38 on an independent index, but costs more per task than competing open models.

Oossa · 2026-10-09 · https://oossa.com/en/mistral-large-4-preview-ranks-top-outside-us-and-china

Mistral AI released a research public preview of its Large 4 model this week. The model has about one trillion parameters, of which 49 billion are active at any time. Independent benchmark firm Artificial Analysis (AA) gave it a score of 38 on its Intelligence Index, the highest for any model coming from outside the United States or China.

## How it performed in tests

AA’s Cyber Index gave Large 4 a 50‑point score, matching the Chinese GLM‑5.3‑Flash and trailing only the higher‑scoring MiMo‑V2.6‑Pro (56). Its best result was on the CyberGym‑E2E‑AA cybersecurity task, where it scored 82 %, ahead of MiMo‑V2.6‑Pro (79 %) and the max‑score GPT‑6 Luna (78 %). The model also improved document and image reasoning, reaching 19 % on the GDP.pdf test, the same as MiMo‑V2.6‑Pro.

## Price and availability

Mistral charges $1.36 per million input tokens and $4.18 per million output tokens, with a $0.14 fee for cached input. That works out to $1.13 per Intelligence Index task. For the first two weeks the preview is offered at a 50 % discount, lowering the cost per task to $0.57. The company says the full model weights will be released at the end of October 2026.

## The facts

- Mistral Large 4 has a trillion parameters (49 B active) and a 512 k token context window.
- AA’s Intelligence Index gave Large 4 a score of 38, the highest outside the US and China.
- On AA’s CyberGym‑E2E‑AA test the model scored 82 %, beating MiMo‑V2.6‑Pro (79 %) and GPT‑6 Luna (78 %).
- Cost per Intelligence Index task is $1.13, reduced to $0.57 during the first two weeks of the preview.
- Open weights are planned to be released by the end of October 2026.

## Why it matters

For developers who need large‑scale language models, Mistral Large 4 offers a high‑capacity option that outperforms other non‑US/China open models on several benchmarks. However, its higher price means it may be less attractive for cost‑sensitive projects until pricing drops or competition improves.

## Sources & references

1. [Mistral’s new Large 4 trails some Chinese open models in independent tests](https://www.tomshardware.com/tech-industry/artificial-intelligence/independent-tests-rank-mistrals-new-trillion-parameter-large-4-the-best-ai-model-outside-the-u-s-and-china-but-chinese-open-weights-still-overcome-europes-best-efforts) – Tom's Hardware, 2026-10-09

Last updated: 2026-10-09