SparkEval
Chat with multiple AI models side‑by‑side, auto‑score outputs with LLM graders & pick winners faster. A playground merged with an evaluation harness.
Powerful Features for Model Evaluation
Multi-Model Chat
Chat with many models at once in a single chat playground
Your API Keys
Use your own api keys to chat with models from OpenAI, Google, Open Router and more to come
Custom LLM Graders
Define your own AI graders to score LLM responses to test for things like prompt accuracy, tone and toxicity.
Conversation History
Persist and revisit prior eval threads with context & versions intact.
Model Parameters
Test different configurations of the same model by modifying system prompts and params like temperature.
Export Results
Export chat sessions and grader responses in JSON for external analysis
Perfect for LLM Workers
Product Managers
Evaluate which models best map to product requirements before committing.
- Compare capability surfaces
- Assess UX & latency tradeoffs
- Data‑driven selection
Developers
Rapid prompt & model iteration with regression safety and structure.
- A/B Test Prompts
- Performance benchmarking
- Find optimal models for Test vs Prod
Researchers
Systematic evaluation & quantitative evidence for model research.
- Performance benchmarking
- Custom Prompts and Graders
- Export Sessions for deeper Analysis
SparkEval Beta is Ready
Experience multi‑model evaluation & structured prompt ops. Try out the beta and see how SparkEval can accelerate your AI development workflow.