Kimina-Prover
Models for formal proofs in Lean 4 from Moonshot AI (Kimi) and Numina. Small versions from 0.6B run on a laptop.
- Developer
- Moonshot AI and Project Numina, China, France
- First release
- Apr 2025
- Latest release
- Aug 2025
- Sizes
- 0.6B – 72B
- License
- Commercial use allowedKimina-Prover-72B: MIT; the rest: Apache 2.0
- Russian
- Not supported
- Ready-made builds
- GGUF
- Running
- On your own serverAlso runs without a GPU
- Industries
- Science and research, Education, Software development
What it does
- Formal verification of mathematical workings
- Translating a problem from plain language into Lean
- Training and olympiad preparation
Where it is used
Hardware requirements
Versions
- Kimina-Prover-RL 0.6B и 1.7B
- Kimina-Prover-72B и Distill 1.7B, 8B
- Kimina-Prover-Preview-Distill и Autoformalizer
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.
Frequently asked questions
Can Kimina-Prover be used in a commercial project?
Yes. License: Kimina-Prover-72B: MIT; the rest: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Kimina-Prover need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Kimina-Prover support Russian?
No. The model card lists its languages and Russian is not among them.
Where can I download Kimina-Prover and what does it cost?
The Kimina-Prover weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
DeepSeek models for formal proofs in Lean 4: the proof is checked by a program, not a person. A narrow tool for mathematicians and engineers.
DetailsMath and reasoningGoedel-ProverPrinceton University · USACommercial use allowedOpen models for formal proofs in Lean 4 from Princeton. The new Goedel-Code-Prover proves program correctness.
DetailsTextKimiMoonshot AI · ChinaCommercial use with conditionsVery large Moonshot MoE models for agentic work. K3 (2.8 trillion parameters) was the largest open model at release, with up to 1M tokens of context and image understanding; K2.7-Code is built for programming.
DetailsSource: huggingface.co/api/models?author=AI-MO&sort=createdAt&direction=-1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


