Best Large Language Models for Visual Studio
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Compare the Top Large Language Models that integrate with Visual Studio as of December 2025
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This a list of Large Language Models that integrate with Visual Studio. Use the filters on the left to add additional filters for products that have integrations with Visual Studio. View the products that work with Visual Studio in the table below.
What are Large Language Models for Visual Studio?
Large language models are artificial neural networks used to process and understand natural language. Commonly trained on large datasets, they can be used for a variety of tasks such as text generation, text classification, question answering, and machine translation. Over time, these models have continued to improve, allowing for better accuracy and greater performance on a variety of tasks. Compare and read user reviews of the best Large Language Models for Visual Studio currently available using the table below. This list is updated regularly.
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LM-Kit.NET
LM-Kit
LM-Kit.NET lets C# and VB.NET developers integrate large and small language models for natural language understanding, text generation, multi-turn dialogue, and low-latency on-device inference, while its vision language models add image analysis and captioning, its embedding models turn text into vectors for fast semantic search, and its LM-Lit catalog lists every state-of-the-art model with continuous updates, all in one efficient toolkit that stays inside your codebase without revealing any AI origin to the user.Starting Price: Free (Community) or $1000/year
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