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llama.cpp vs LocalAI

llama.cpp or LocalAI? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.

In short

  • Both: Command line, Choice of models, Self-hosted, API
  • Only LocalAI states: Runs commands, VS Code, Runs models for you, Builds agents and workflows, Search over your data

llama.cpp

Open-source C/C++ software for running large language and vision-language models locally or in the cloud.

Plans

Free

Free

  • Unlimited public/private repositories
  • Dependabot security and version updates
  • 2,000 CI/CD minutes/month
  • 500MB of Packages storage
  • Issues & Projects
  • Community support

Team

  • $4 per user/month
  • Access to GitHub Codespaces
  • Repository rules
  • Multiple reviewers in pull requests
  • Draft pull requests
  • Code owners
  • Required reviewers

Enterprise

  • Starting at $21 per user/month
  • Data residency
  • Enterprise Managed Users
  • User provisioning through SCIM
  • Enterprise Account to centrally manage multiple organizations
  • Environment protection rules
  • Repository rules

Prices checked 2026-09-24 on the maker’s page.

Capabilities

  • Command line — “llama cli -hf ggml-org/Qwen3.5-0.8B-GGUF” source
  • Choice of models — “llama cli -hf ggml-org/Qwen3.5-0.8B-GGUF” source
  • Self-hosted — “locally and in the cloud.” source
  • API — “Launch OpenAI-compatible API server” source

Latest updates

  • b11160

    Adds Vulkan int8 cooperative-matrix quantized matmul for AMD RDNA3 and RDNA4, including q8_0, q4_1, q5_0, and q5_1.

  • b11159

    Handles misalignment in conv_2d and conv_3d.

  • b11158
About llama.cpp

LocalAI

LocalAI runs AI models on your own hardware through an OpenAI-compatible local server and web interface.

Plans

Not read from the maker’s page yet.

Prices checked 2026-09-25 on the maker’s page.

Capabilities

  • Runs commands — “It runs shell commands behind an approval gate you control, delegates to sub-agents, and loads MCP servers, plugins and skills.” source
  • VS Code — “Install on openSUSE and drive it from VS Code” source
  • Command line — “Run local-ai chat and you are talking to an agent that already knows where your models are.” source
  • Choice of models — “Every tier of every model we quantize, ranked against the hardware you actually have and installed with one click.” source
  • Self-hosted — “keep your data on your hardware, and scale to a room full of GPUs when you need more capacity.” source
  • API — “One binary with an OpenAI-compatible API in front of it.” source
  • Runs models for you — “Point an existing client at it and the calls keep working, except now the model is on your machine.” source
  • Builds agents and workflows — “Run local-ai chat and you are talking to an agent that already knows where your models are.” source
  • Search over your data — “Agents, MCP, skills, RAG, interactive tools” source

Latest updates

  • v4.10.0 (v4.10.0)

    Added a fleet operations dashboard, credentials.yaml authentication, and CLI end-to-end latency and throughput benchmarking.

  • v4.9.0 (v4.9.0)

    Authentication now defaults to deny; chat supports context compression, canonical model/backend pages, and video serving in vllm-cpp.

  • v4.8.0 (v4.8.0)

    Added the vllm-cpp backend, 3D generation, a multi-family audio.cpp engine, hardware-matched gallery builds, and distributed-mode fixes.

About LocalAI