Tools
LocalAI vs Unsloth
LocalAI or Unsloth? 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: Runs commands, Command line, Choice of models, Self-hosted, API, Search over your data
- Only LocalAI states: VS Code, Runs models for you, Builds agents and workflows
- Only Unsloth states: Chat about your code
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.
Unsloth
Unsloth runs and fine-tunes AI models locally through a free, open-source desktop app, web UI, and code-based tools.
Plans
Free
Free
- Open-source
- Supports Mistral and Gemma
- Supports Llama 1, 2, and 3
- Supports 4 bit and 16 bit LoRA
unsloth Pro
Contact us
- 2.5x number of GPUs faster than FA2
- 20% less memory than OSS
- Enhanced MultiGPU support
- Up to 8 GPUs support
unsloth Enterprise
Contact us
- 32x number of GPUs faster than FA2
- Up to 30% accuracy
- 5x faster inference
- Full training
- Multi-node support
- Customer support
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Chat about your code — “Download a model and start chatting in minutes.” source
- Runs commands — “Execute Bash and Python in a secure sandbox so models can run code, test results and complete real tasks locally.” source
- Command line — “then run unsloth start claude .” source
- Choice of models — “Discover, manage and download the right quantization for your device from the built-in model hub.” source
- Self-hosted — “Open-source. Free. 100% Local.” source
- API — “Unsloth also exposes an OpenAI-compatible API, so existing apps, scripts and SDKs can connect to your local models through a familiar interface.” source
- Search over your data — “Private web search, deep research, RAG, MCP + exports (NVFP4, GGUF)” source
Latest updates
- Qwen-Image-2.1 + Skills (Qwen-Image-2.1)
Adds local Qwen-Image-2.1, custom Agent Skills, draggable chats, faster reasoning blocks, and Linux update and installation options.
- Qwen-Image-2.1 + Skills (Qwen-Image-2.1)
Adds local Qwen-Image-2.1, custom Agent Skills, draggable chats, faster reasoning blocks, and Linux update and installation options.
- Docker + Multi User + AMD Support (v0.1.810-beta)
Adds a Docker image with NVIDIA and AMD support, multi-user accounts, diffusion support, ARM64 Windows CUDA support, and RDNA1/2 support.