GLM-5.1

GLM-5.1

Z.ai
Timestral

Timestral

Mistral AI
+
+

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About

GLM-5.1 is the latest iteration of Z.ai’s GLM series, designed as a frontier-level, agent-oriented AI model optimized for coding, reasoning, and long-horizon workflows. It builds on the GLM-5 architecture, which uses a Mixture-of-Experts (MoE) design to deliver high performance while keeping inference costs efficient, and is part of a broader push toward open-weight, developer-accessible models. A core focus of GLM-5.1 is enabling agentic behavior, meaning it can plan, execute, and iterate across multi-step tasks rather than simply responding to single prompts. It is specifically designed to handle complex workflows such as debugging code, navigating repositories, and executing chained operations with sustained context. Compared to earlier models, GLM-5.1 improves reliability in long interactions, maintaining coherence across extended sessions and reducing breakdowns in multi-step reasoning.

About

Timestral is a family of time-series foundation models and a Python inference package for generating multivariate probabilistic forecasts from historical sequences. The four model sizes (5M, 28M, 123M and 209M parameters) support past-only, known-future and categorical covariates, return quantile forecasts, and accept context windows up to 32,768 time steps. Developers can load pretrained weights from the Hugging Face Hub or from local files and run inference on CPU or GPU, then incorporate forecasts into monitoring, capacity-planning, energy, supply-chain, financial-risk, or maintenance workflows. Timestral supports zero-shot forecasting and can be adapted to domain data through Mistral Forge. The package is intended for data scientists, machine-learning engineers, and teams building forecasting systems; repository code is Apache 2.0, while model weights use a separate Modified MIT license.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers and AI teams who need a cost-efficient, agent-capable model for coding, automation, and long multi-step workflows with flexible deployment options

Audience

Data scientists, machine-learning engineers, forecasting practitioners, and teams developing time-series forecasting systems.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Z.ai
Founded: 2023
China
z.ai/

Company Information

Mistral AI
Founded: 2023
France
github.com/mistralai/timestral

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Categories

Categories

AI Models Supported

Integrations

APIFree Supported
C++ Supported
CSS Supported
Cheaper Inference Supported
Cherry Studio Supported
Claw Code Supported
Dessix Supported
Factory Droid Supported
GLM-5-Turbo Supported
HTML Supported
Hermes Agent Supported
Java Supported
Kotlin Supported
Mistral Forge Not Supported
Qoder Supported
R Supported
Roo Code Supported
Together AI Supported
Yonoo Supported
scikit-learn Supported

Integrations

APIFree Not Supported
C++ Not Supported
CSS Not Supported
Cheaper Inference Not Supported
Cherry Studio Not Supported
Claw Code Not Supported
Dessix Not Supported
Factory Droid Not Supported
GLM-5-Turbo Not Supported
HTML Not Supported
Hermes Agent Not Supported
Java Not Supported
Kotlin Not Supported
Mistral Forge Supported
Qoder Not Supported
R Not Supported
Roo Code Not Supported
Together AI Not Supported
Yonoo Not Supported
scikit-learn Not Supported
Claim GLM-5.1 and update features and information
Claim GLM-5.1 and update features and information
Claim Timestral and update features and information
Claim Timestral and update features and information