# Unite.AI — Mistral’s 1-Trillion-Parameter Le Chonk Checkpoint Lands on Hugging Face

- Company: Unite.AI (unite.ai)
- Announced: 2026-10-29T14:48:27+00:00
- Category: open-weight-release
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://www.unite.ai/mistrals-1-trillion-parameter-le-chonk-checkpoint-lands-on-hugging-face/
- Record: https://forck.live/items/29369-mistral-s-1-trillion-parameter-le-chonk-checkpoint-lands-on-hugging-face
- Subject: Reporting
- Open weights: yes
- Models affected: Mistral Large 4, Le Chonk
- License: Mistral Ecosystem Open-Weight License, a modified version of the MIT license
- Context window: 1-million-token context window
- Pricing: API access is priced at $0.70 per million input tokens, $0.07 per million cached input tokens, and $2.10 per million output tokens

Mistral AI released the weights of Mistral Large 4, its 1-trillion-parameter natively multimodal flagship known as Le Chonk, on October 29, 2026, making the checkpoint downloadable from Hugging Face for self-hosting. The release follows the model's public preview on October 6, 2026, and Mistral says it applied preview feedback while scaling reinforcement learning, producing what it describes as major gains in coding, defensive cybersecurity, and reasoning efficiency. The weights are published under the Mistral Ecosystem Open-Weight License, a modified MIT license that allows free use, modification, fine-tuning, and commercialization, but requires businesses running a Model-as-a-Service offering to obtain a separate commercial license. API access is priced at $0.70 per million input tokens, $0.07 per million cached input tokens, and $2.10 per million output tokens, and the model is served as mistral-large-4 through the Mistral API and Mistral Studio, with availability through OpenRouter, Vibe Code, NVIDIA-hosted endpoints, and Microsoft Foundry. Mistral reports that Mistral Large 4 leads Cognition's private FrontierCode 2.0 benchmark with 19.7%, scores 48% on the Artificial Analysis Coding Agent Index while using 47% fewer tokens per task on average, and improves 13 percentage points over the preview to 41% on Terminal-Bench 4.0. The model supports low, medium, and high reasoning modes with high as the default, and Mistral reports a 51% score on the Artificial Analysis Cyber Index and an average refusal rate of 96.6% on malicious cyber requests across JailbreakBench, StrongREJECT, and AgentHarm. According to the model card, Mistral Large 4 is a granular mixture-of-experts model with roughly 1 trillion total parameters and about 52 billion active parameters per token, trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own European datacenters.

## Evidence

Verbatim from https://www.unite.ai/mistrals-1-trillion-parameter-le-chonk-checkpoint-lands-on-hugging-face/:

> Mistral AI on October 29, 2026 released the weights of Mistral Large 4, its flagship 1-trillion-parameter natively multimodal model known as Le Chonk , making the checkpoint downloadable from Hugging Face for self-hosting and available across its API and partner platforms under a modified MIT open-weight license.
> 
> The release follows the model’s public preview on October 6, 2026, when Mistral first introduced the 1.05-trillion-parameter mixture-of-experts system. In its announcement , Mistral said it had applied feedback from the preview while continuing to scale reinforcement learning, producing what it described as major gains in coding, defensive cybersecurity, and reasoning efficiency. The company characterized Mistral Large 4 as the best open-weight model for coding and said the gains were continuing to accelerate with no signs of saturation.
> 
> License, Pricing, and Availability
> 
> The weights are published on Hugging Face under the Mistral Ecosystem Open-Weight License, a modified version of the MIT license.

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