Tools
Open WebUI vs Unsloth
Open WebUI 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 inglese
In short
- Both: Chat about your code, Runs commands, Command line, Choice of models, Self-hosted, API, Search over your data
- Only Open WebUI states: Agent that edits files, Reviews pull requests, Builds agents and workflows, Traces and evaluates
Open WebUI
Self-hosted AI interface for connecting local and cloud models, with chat, tools, retrieval, voice, vision, and extensions.
Plans
Free
Free
- Use the whole thing free, even at work
- No account, no card, no purchase needed
- Self-hostable on your infrastructure
Supporter
- $60 / seat / year
- Get extras and help fund the work
- Free use stays free
Enterprise
Price on request
- Company-wide rollout with controls, terms, and procurement a large org needs
- White-labeling, support agreements, security review, dedicated point of contact
- SSO, RBAC, audit logs, air-gapped deployments
Prices checked 2026-09-25 by web search.
Capabilities
- Chat about your code — “Attach documents, images, and code for the AI to analyze” source
- Agent that edits files — “Point a coding agent at the task, watch it run tools live, and ship the result with a tap.” source
- Runs commands — “Runs real commands and returns output” source
- Reviews pull requests — “Review diffs, stage, and commit beside the agent.” source
- Command line — “pip install open-webui && open-webui serve” source
- Choice of models — “Talk to any model, switch mid-conversation, and keep your context intact.” source
- Self-hosted — “Freedom is self-hosted. Your AI, running on your own ground, wherever you are.” source
- API — “This guide provides essential information on how to interact with the API endpoints effectively to achieve seamless integration and automation using our models.” source
- Builds agents and workflows — “Wrap any model with custom instructions, tools, and knowledge to build specialized agents.” source
- Search over your data — “Upload files, build knowledge bases, and let the AI retrieve exactly the information it needs.” source
- Traces and evaluates — “OpenTelemetry” source
Latest updates
- v0.11.0 (v0.11.0)
Redesigned the interface and added sub-agents.
- v0.10.0 (v0.10.0)
Added folder sharing with users, groups, or everyone, plus automatic context compaction for long chats.
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.