DeepEval Pricing & Plans 2026

Name: DeepEval
Brand: DeepEval
Availability: InStock

Complete pricing guide for DeepEval. Compare all plans, analyze costs, and find the perfect tier for your needs.

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Still deciding? Read our full verdict on whether DeepEval is worth it →

🆓Free Tier Available

💎1 Paid Plans

⚡No Setup Fees

Choose Your Plan

DeepEval Open Source

forever

None - fully open source

✓50+ evaluation metrics
✓Pytest integration
✓Component-level tracing
✓CI/CD pipeline support
✓Custom metric creation with GEval
✓RAG and agent evaluation
✓Synthetic dataset generation
✓Multi-modal evaluation support
✓Apache 2.0 license
✓Unlimited usage

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Confident AI Platform

Free tier + paid plans

month

Free tier available, usage-based pricing for advanced features

✓Cloud evaluation dashboard
✓Team collaboration and sharing
✓Historical test run tracking
✓Regression testing automation
✓Advanced analytics and reporting
✓Commercial support and training
✓MCP server integration
✓Enterprise security features

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Pricing sourced from DeepEval · Last verified March 2026

Feature Comparison

Features	DeepEval Open Source	Confident AI Platform
50+ evaluation metrics	✓	✓
Pytest integration	✓	✓
Component-level tracing	✓	✓
CI/CD pipeline support	✓	✓
Custom metric creation with GEval	✓	✓
RAG and agent evaluation	✓	✓
Synthetic dataset generation	✓	✓
Multi-modal evaluation support	✓	✓
Apache 2.0 license	✓	✓
Unlimited usage	✓	✓
Cloud evaluation dashboard	—	✓
Team collaboration and sharing	—	✓
Historical test run tracking	—	✓
Regression testing automation	—	✓
Advanced analytics and reporting	—	✓
Commercial support and training	—	✓
MCP server integration	—	✓
Enterprise security features	—	✓

Is DeepEval Worth It?

✅ Why Choose DeepEval

• Completely free and open-source with Apache 2.0 license and no usage restrictions
• Pytest integration makes LLM testing intuitive for developers familiar with unit testing
• Most comprehensive metric library available with 50+ research-backed evaluation methods
• Component-level tracing enables granular debugging without code changes
• Strong CI/CD integration for automated quality gates and regression testing
• MCP protocol support enables integration with complex agent workflows

⚠️ Consider This

• Requires Python and pytest knowledge, not suitable for non-technical users
• LLM-as-judge metrics consume additional API credits and compute resources
• Learning curve to understand appropriate metric selection for different use cases
• Cloud collaboration features require separate Confident AI platform subscription
• Performance can be slow for large-scale evaluations due to LLM evaluation overhead

What Users Say About DeepEval

👍 What Users Love

✓Completely free and open-source with Apache 2.0 license and no usage restrictions
✓Pytest integration makes LLM testing intuitive for developers familiar with unit testing
✓Most comprehensive metric library available with 50+ research-backed evaluation methods
✓Component-level tracing enables granular debugging without code changes
✓Strong CI/CD integration for automated quality gates and regression testing
✓MCP protocol support enables integration with complex agent workflows
✓Multi-provider LLM support (OpenAI, Anthropic, Google, Azure, Ollama)
✓Active development and regular updates from Confident AI team
✓Synthetic dataset generation reduces manual test case creation overhead

👎 Common Concerns

⚠Requires Python and pytest knowledge, not suitable for non-technical users
⚠LLM-as-judge metrics consume additional API credits and compute resources
⚠Learning curve to understand appropriate metric selection for different use cases
⚠Cloud collaboration features require separate Confident AI platform subscription
⚠Performance can be slow for large-scale evaluations due to LLM evaluation overhead
⚠Limited GUI compared to no-code evaluation platforms like LangSmith's interface

Pricing FAQ

Is DeepEval completely free to use?

Yes, DeepEval is completely free and open-source under Apache 2.0 license. All evaluation metrics, pytest integration, tracing, and core features are included at no cost with no usage restrictions. Confident AI offers an optional cloud platform for team collaboration and advanced analytics.

How does DeepEval compare to LangSmith and other evaluation tools?

DeepEval offers the most comprehensive metric library (50+) compared to competitors, with unique pytest integration familiar to developers. Unlike LangSmith's subscription model, DeepEval is completely free. It provides both end-to-end and component-level evaluation, while maintaining open-source transparency and avoiding vendor lock-in.

What technical skills are required to use DeepEval effectively?

DeepEval requires Python programming knowledge and familiarity with pytest testing framework. It's designed for developers and technical teams who want to integrate LLM evaluation into their development workflow, not for non-technical users seeking no-code solutions.

Can DeepEval evaluate different types of AI applications?

Yes, DeepEval supports comprehensive evaluation of RAG systems, chatbots, AI agents, multi-turn conversations, multimodal applications, and virtually any LLM-powered application. It provides specialized metrics for each use case and supports both end-to-end and component-level evaluation.

Does DeepEval work with all LLM providers and frameworks?

DeepEval integrates with all major LLM providers (OpenAI, Anthropic, Google, Azure, Ollama) and frameworks (LangChain, LangGraph, CrewAI, Pydantic AI, LlamaIndex). You can use different models for evaluation than those being tested, and it supports custom LLM implementations.

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