Lune AI Reviews in 2025

Audience

Developers and technical professionals seeking a tool to manage their code generation processes through AI models

About Lune AI

A community-driven marketplace of individual expert LLMs created by devs on technical topics that outperform standalone AI models. Reduce hallucinations on technical queries with Lunes that keep themselves up-to-date on various technical knowledge sources such as Github repositories, documentation, and more. Get references back just like Perplexity. Find and use hundreds of Lunes other users have created ranging from Lunes trained on open-source tools, to curated collections of tech blog posts. Create one from a variety of sources, including your own projects, and get exposure. Our API is hot-swappable with OpenAI's. Easily integrate with Cursor, Continue, and other various tools that support OpenAI-compatible models. Carry on with your conversations from your IDE to Lune Web at any time. Make a contribution directly within the chat, and get paid for every approved feedback. Or create a public Lune and share it out and get paid for your Lune's popularity.

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StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.

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Mistral AI

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R1 1776

Perplexity AI has open-sourced R1 1776, a large language model (LLM) based on DeepSeek R1 designed to enhance transparency and foster community collaboration in AI development. This release allows researchers and developers to access the model's architecture and codebase, enabling them to contribute to its improvement and adaptation for various applications. By sharing R1 1776 openly, Perplexity AI aims to promote innovation and ethical practices within the AI community.

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Vicuna

Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. The code and weights, along with an online demo, are publicly available for non-commercial use.

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Pricing

Starting Price:

$10 per month

Free Version:

Free Version available.

Integrations

API:

Yes, Lune AI offers API access

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Ratings/Reviews

Overall 0.0 / 5

ease 0.0 / 5

features 0.0 / 5

design 0.0 / 5

support 0.0 / 5

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Product Details

Platforms Supported

Cloud

Training

Documentation

Support

24/7 Live Support

Online

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