Side by side
Microsoft Foundry Prompt Optimizer vs PromptSource
Both stand on ai prompt generators. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Paid Web
Prompt Optimizer provides an iterative way to revise agent instructions and review why paragraphs changed. Its preview status, lack of version persistence, and text-only scope are important constraints.
Visit Microsoft Foundry Prompt Optimizer Free plan APISelf-hostedWeb
PromptSource combines a prompt editor, dataset views, an API, and a substantial English prompt collection. Developers should note its Python requirement and the limits of the hosted Sourcing mode.
Visit PromptSourceThe facts
| Microsoft Foundry Prompt Optimizer | PromptSource | |
|---|---|---|
| Free plan | Not published | Yes |
| Open source | Not published | Not published |
| Runs on | Web | API, Self-hosted, Web |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | learn.microsoft.com | github.com |
| On ai prompt generators | #24 of 28 | #20 of 28 |
Microsoft Foundry Prompt Optimizer: what it does well
- Explains each modified paragraph for review.
- Accepts suggestions for another optimization pass.
- Available in the Foundry portal and model playground.
- Microsoft says Azure model prompts and completions are not shared with other customers or used to improve provider models.
What to know first
- Optimizes text instructions, not tool definitions or knowledge sources.
- Results and earlier versions are not saved permanently.
- Public preview has no service-level agreement.
- Microsoft does not recommend it for production workloads.
PromptSource: what it does well
- Free and licensed under Apache-2.0
- Web-based prompt editor previews outputs on examples
- Includes an API for prompts and metadata
- P3 covers more than 170 English datasets
What to know first
- BigScience hosted app disables Sourcing mode
- Some datasets require manual downloads
- Stable interface-based prompt creation requires Python 3.7
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