GEPA vs Pythia
GEPA
gepa-ai.github.ioPythia
clai-group.github.ioSide by side
| Figure | GEPA | Pythia |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · AI Prompt Generators | 8.6 (#4) | 6.7 (#25) |
| Purpose | GEPA is a framework for optimizing prompts, code, agent architectures, configurations, and other text parameters against evaluation metrics. | Pythia is an automated prompt optimization engine that iteratively evaluates prompts, analyzes failures, and synthesizes improvements. |
| Support | The project points users to its documentation, GitHub issues, and a Discord community. | The project links to its GitHub repository issues for questions and issue reporting. |
Plans
In their own words
GEPA
GEPA is a free, open-source Python package for optimizing prompts, code, configurations, agent architectures, policies, and other text-based artifacts. Its optimize_anything API connects to any system through an evaluator you write, so DSPy or another framework is not required. GEPA examines execution traces and evaluator feedback, uses language-model reflection to diagnose problems and propose targeted mutations, then selects candidates with Pareto-aware criteria. It can optimize API-only GPT, Claude, and Gemini models without model-weight access. Human-readable traces explain changes and support agent debugging. Built-in adapters cover Default, Confidence, DSPy Full Program, Generic RAG, MCP, TerminalBench, AnyMaths, and LangChain, with integrations including MLflow, Comet ML Opik, Pydantic AI, and cookbook projects. You can limit metric calls and set several stopping conditions. GEPA works through API or self-hosted deployment, installs with pip, and uses the MIT license.
Pythia
Pythia has no write-up on Specifiction yet; its figures are above.