Ollama, LM Studio, and llama.cpp: Local LLM inference tools compared

In 2026, running large language models locally has become commonplace, with the primary question shifting to which inference tool best suits a user's workflow. Ollama offers a simple command-line interface for quick model deployment and API access, making it ideal for terminal users. LM Studio provides a user-friendly desktop application with a graphical interface for browsing, downloading, and chatting with models, along with extensive customization options. llama.cpp serves as the underlying inference engine for both Ollama and LM Studio, offering direct control over build flags and hardware backends for developers who need to embed inference capabilities into their own applications. AI

IMPACT Provides users with options for running LLMs locally, catering to different needs from simple chat interfaces to deep integration.

RANK_REASON Comparison of three distinct software tools for local LLM inference.

Read on dev.to — LLM tag →

• CUDA
• GGUF
• Llama-3.1:8b
• llama.cpp
• LM Studio
• Metal
• Ollama
• Vulkan

• product
• infra

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