AI Navigate

mistralai/Leanstral-2603 · Hugging Face

Reddit r/LocalLLaMA / 3/17/2026

💬 OpinionTools & Practical UsageModels & Research

Key Points

  • Leanstral-2603 is the first open-source code agent designed for Lean 4, targeting proof engineering tasks and formal verification workflows.
  • It uses a Mixture-of-Experts architecture with 128 experts (4 active per token), has 119B parameters with 6.5B activated per token, and supports a 256k token context window.
  • The model accepts multimodal input (text and images), produces text output, provides tool-calling support via Mistral Vibe, and includes vision capabilities to analyze images.
  • It is multilingual across many languages, adheres strongly to system prompts, and is released under Apache 2.0, positioning it as a fast, cost-effective open-source alternative to closed-source options.
mistralai/Leanstral-2603 · Hugging Face

Leanstral is the first open-source code agent designed for Lean 4, a proof assistant capable of expressing complex mathematical objects such as perfectoid spaces and software specifications like properties of Rust fragments.

Built as part of the Mistral Small 4 family, it combines multimodal capabilities and an efficient architecture, making it both performant and cost-effective compared to existing closed-source alternatives.

For more details about the model and its scope, please read the related blog post.

Key Features

Leanstral incorporates the following architectural choices:

  • MoE: 128 experts, 4 active per token
  • Model Size: 119B parameters with 6.5B activated per token
  • Context Length: 256k tokens
  • Multimodal Input: Accepts text and image input, producing text output

Leanstral offers these capabilities:

  • Proof Agentic: Designed specifically for proof engineering scenarios
  • Tool Calling Support: Optimized for Mistral Vibe
  • Vision: Can analyze images and provide insights
  • Multilingual: Supports English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, and Arabic
  • System Prompt Compliance: Strong adherence to system prompts
  • Speed-Optimized: Best-in-class performance
  • Apache 2.0 License: Open-source license for commercial and non-commercial use
  • Large Context Window: Supports up to 256k tokens
submitted by /u/iamn0
[link] [comments]