Leanstral

Leanstral

Mistral AI
Qwen3.6-27B

Qwen3.6-27B

Alibaba
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About

Leanstral is an open-source code agent developed by Mistral AI specifically designed to work with the Lean 4 proof assistant. The model focuses on generating code while also formally verifying its correctness against strict mathematical or software specifications. Unlike traditional coding assistants, Leanstral integrates directly with formal proof systems to ensure that generated code satisfies defined logical requirements. Its architecture is optimized for proof engineering tasks and operates efficiently with sparse model parameters. Leanstral is released under the Apache 2.0 license, making it freely accessible for developers, researchers, and organizations to use and customize. The model is designed to operate within real-world formal repositories rather than isolated problem environments. By combining code generation with formal verification, Leanstral aims to reduce the need for manual human review in complex software and mathematical development.

About

Qwen3.6-27B is a dense, open source multimodal language model in the Qwen3.6 series, designed to deliver flagship-level performance in coding, reasoning, and agent-based workflows while maintaining a relatively efficient parameter size of 27 billion. It is positioned as a high-performance general model that “punches above its weight,” achieving results competitive with or superior to significantly larger models on key benchmarks, particularly in agentic coding tasks. It supports both thinking and non-thinking modes, allowing it to dynamically balance deep reasoning with fast responses depending on the task, and integrates capabilities across text and multimodal inputs such as images and video. Built as part of the Qwen3.6 family, the model emphasizes real-world usability, stability, and developer productivity, incorporating improvements driven by community feedback and practical deployment needs.

Platforms Supported

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

Platforms Supported

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

Audience

AI researchers, software engineers, and developers working with formal verification, proof assistants, and mathematically rigorous software development

Audience

Developers and AI engineers who need a powerful, open source model capable of advanced coding, reasoning, and agent workflows

Support

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

Support

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

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Pricing

Free
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

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

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Reviews/Ratings

Overall 5.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • Qwen3.6-27B is exciting because it packs a lot of capability into a model size that still feels realistic for serious builders. It is open-weight, dense, multimodal, and clearly tuned for coding-heavy agent workflows. The agentic coding focus is the biggest win. Qwen specifically calls out integration with coding assistants like OpenClaw, Claude Code, and Qwen Code, which makes it feel useful for real development workflows instead of just benchmark screenshots. I also like the long-context support. For coding agents, repo analysis, technical docs, visual debugging, and multi-step reasoning, having more room for context makes a real difference.

Cons

  • It is still a 27B model, so local use is not effortless. You still need the right hardware, quantization, serving setup, and patience if you want good speed.

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

Mistral AI
Founded: 2023
France
mistral.ai

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

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Qwen3.6

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Categories

AI Coding Agents Supported
AI Coding Models Supported
AI Models Supported

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported

Integrations

Alibaba Cloud Model Studio Not Supported
Cheaper Inference Not Supported
Hugging Face Not Supported
Mistral AI Supported
Mistral AI Studio Supported
Mistral Vibe Supported
ModelScope Not Supported
Ollama Not Supported
OpenClaw Not Supported
Python Not Supported
Qwen Not Supported
Qwen Studio Not Supported
Qwen3.6 Not Supported

Integrations

Alibaba Cloud Model Studio Supported
Cheaper Inference Supported
Hugging Face Supported
Mistral AI Not Supported
Mistral AI Studio Not Supported
Mistral Vibe Not Supported
ModelScope Supported
Ollama Supported
OpenClaw Supported
Python Supported
Qwen Supported
Qwen Studio Supported
Qwen3.6 Supported
Claim Leanstral and update features and information
Claim Leanstral and update features and information
Claim Qwen3.6-27B and update features and information
Claim Qwen3.6-27B and update features and information