Query Vary

Execute multiple prompt variations against the same input simultaneously across one or more LLM models. Collects outputs and performance metrics in a single test run rather than requiring manual iteration.

Run the same test suite across multiple LLM providers (OpenAI, Anthropic, etc.) within a single interface without switching contexts or managing separate API integrations.

Automatically aggregate and summarize performance metrics across multiple test runs, providing statistical insights into prompt performance and consistency.

Monitor and track API costs across test runs, helping teams understand the financial impact of testing and optimize for cost-efficiency without sacrificing quality.

Share test configurations, results, and insights with team members, enabling collaborative prompt optimization and reducing duplicate testing efforts.

Systematically test different model parameters (temperature, top-p, max-tokens, etc.) against the same prompt to understand how parameter changes affect output quality and behavior.

Automatically compare test results across prompt variations and parameters with built-in metrics and visual representations to identify which modifications actually improve output quality.

Create and maintain measurable performance baselines for prompts before production deployment, enabling teams to track improvements over time and validate that changes are genuine optimizations.

Efficiently manage and execute large numbers of LLM API calls in organized batches, reducing manual API management overhead and providing centralized logging of all requests and responses.

Export test results and generate reports in multiple formats for sharing with stakeholders, documentation, or integration with other tools and workflows.

Store, organize, and version control prompt templates within the platform, enabling teams to maintain a library of tested prompts and track changes over time.

Define and configure custom evaluation metrics to assess prompt quality based on specific use case requirements, enabling teams to measure what matters for their application.

Upload, organize, and manage test datasets used for evaluating prompts, supporting multiple input formats and enabling reuse across different test runs.