PromptWizard vs Vellum
PromptWizard
microsoft.github.ioVellum
vellum.aiSide by side
| Figure | PromptWizard | Vellum |
|---|---|---|
| Price from | Free | $30/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | — |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 9 |
| Spec score · AI Prompt Generators | 8.4 (#6) | 8.6 (#5) |
| Headquarters | Redmond, Washington, USA | United States |
| Product | PromptWizard is an open source framework for automated prompt and example optimization using a feedback-driven critique and synthesis process. | Vellum describes itself as a personal AI assistant that can read files, manage calendars, send email, run code, and control a computer. |
Plans
Vellum
- BaseFree
- FreeFree
- Mighty$30 a month
- Mighty$30 a month
- Custom$50 a month
- Super$100 a month
- Super$100 a month
- Ultra$200 a month
- Ultra$200 a month
In their own words
PromptWizard
PromptWizard is a free, MIT-licensed open-source framework for automated prompt and example optimization. It generates prompt variations, scores them, critiques their outcomes, and refines instructions over repeated rounds. It can also optimize in-context examples and synthesize examples suited to a task. The described workflows cover prompt optimization without examples, with generated examples, or with training data. Listed datasets include GSM8k, SVAMP, AQUARAT, and Instruction Induction (BBII). Custom datasets use JSONL samples with question and answer fields, and require task-specific answer extraction and evaluation functions, configuration, and data files. PromptWizard can generate chain-of-thought reasoning for in-context examples, with an option to turn that off to reduce prompt length. Installation uses the GitHub repository as a Python package in development mode, with instructions for Windows, macOS, and Linux. Model access setup supports OpenAI API keys and Azure OpenAI endpoints, so access requires credentials for those services. The README reports average optimization times of around 20–30 minutes in experiments on the listed datasets, with timing dependent on the dataset, and notes that human supervision can help tune outputs.
Vellum
Vellum is a personal AI assistant that can read files, manage calendars, send email, run code, and control a computer. It saves preferences and context in its workspace for later conversations, and users can create, install, and manage skills. Listed OAuth services include Discord, GitHub, Google services, HubSpot, Linear, Twitter (X), Asana, Notion, Microsoft Outlook, and Todoist. Vellum says OAuth tokens stay in a credential vault rather than being exposed to the language model. Sensitive actions prompt for approval, and users can set trust rules for standing permissions. By default, conversation context is sent to Anthropic to generate responses; OpenAI, Google, OpenRouter, Fireworks, and local Ollama are listed alternatives. An internet connection is required. Vellum Cloud runs assistants in isolated environments with private storage and 24/7 availability. The Free plan includes first tasks and pay-as-you-go credits. Mighty costs $30 a month, Super $100 a month, and Ultra $200 a month. There is no shipped Linux desktop client, but Linux users can use the web app, Chrome extension, or self-host the runtime.