PromptEval
PromptEval: A low-cost prompt evaluation suite with testing, versioning, APIs, and CI controls. Ranked #7 of 28 in AI Prompt Generators by our editors (8.8/10); pricing: Free plan; best for budget-conscious prompt evaluators.
At a glance
- Editor score8.8 / 10
- PricingFree plan
- Best forBudget-conscious prompt evaluators
- Free planYes
- Paid from$9/mo
- Model supportSingle
- Facts checked21 Sep 2026

Where it wins
- Scores prompts across clarity, specificity, structure, and robustness
- Combines version history, A/B testing, judging, and AI rewrites
- Adds REST API, GitHub Actions, and production prompt serving
Where it doesn't
- Model support is limited to a single model
- Free plan allows 3 web evaluations per month
- Team plan pricing is not shown in the published plan details
Our verdict on PromptEval
PromptEval is a SaaS platform for evaluating and optimizing prompts for large language models. It is aimed at solo developers, AI builders, and teams shipping prompts in production. Core capabilities include scoring across clarity, specificity, structure, and robustness; conflict detection; issue reporting; AI-generated improved versions; and a versioned prompt library with diffs and history. The platform is available through the web and API, with Anthropic API support documented for BYOK use.
The published plans start with Free at $0 per month, including 3 web evaluations per month, 10 Eval API lint calls, a library of up to 5 prompts, and free daily training. Basic costs $9 per month and adds an improved prompt, 30 credits, a production iterator, Playground with BYOK, a versioned library, and 30 Eval API lint calls. Pro costs $19 per month and adds slug serving, CI regression gates with a GitHub Action, the full evaluation API, unlimited web usage, and batch A/B testing. Team adds workspaces and roles, production approval workflow, audit logs, 250 Eval API lint calls per month, library export, and priority support.
PromptEval’s strongest fit is for buyers who want a compact evaluation workflow that extends from prompt analysis to production controls. Batch A/B testing supports criteria and LLM judging, while the REST evaluation API and GitHub Action connect prompt quality checks with development workflows. Version history and diffs help teams track revisions, and production serving by slug is available on eligible plans. Buyers seeking multi-model support should look elsewhere, since the listed model support is single. For budget-conscious evaluators, Free and Basic cover core review and improvement needs; Pro is the more suitable choice for CI, serving, and higher-volume web work.
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PromptEval pricing
All 4 PromptEval plans and prices →
PromptEval fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $9/mo |
| Model support | Single |
| Optimization mode | Assisted |
| Prompt variables | Not verified |
| Prompt testing | Yes |
| Team collaboration | Yes |
| API access | Yes |
| Template limit | Not verified |
| Money-back guarantee | 14 days |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | PCI DSS |
| Support | |
| Built for | Solo, Small business, Mid-market (editorial estimate) |
| Integrations | 2 integrations: GitHub Actions, Anthropic API |
| Pricing | Free plan (source) |
| Website | prompt-eval.com |
| Facts checked | 21 Sep 2026 |
PromptEval integrations
PromptEval lists 2 integrations on its own site.
- GitHub Actions
- Anthropic API
Alternatives to PromptEval
- AgentaA full prompt operations workspace with testing, evaluations, tracing, and self-hosting.9.4
- MLflow Prompt OptimizationA developer-focused toolkit for evaluating, rewriting, versioning, and optimizing prompts.9.3
- ProofHoundA focused prompt operations platform for testing, releasing, and monitoring LLM classifiers.9.2
See all PromptEval alternatives →
PromptEval vs the competition
- PromptEval vs Agenta
- PromptEval vs MLflow Prompt Optimization
- PromptEval vs ProofHound
- PromptEval vs PromptLayer
- PromptEval vs PromptForge
- PromptEval vs DSPy
Compare PromptEval with any tool side by side →
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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