Opik vs Braintrust
Detailed side-by-side comparison to help you choose the right tool
Opik
🔴DeveloperTesting & Quality
Open-source LLM observability and evaluation platform by Comet for tracing, testing, and monitoring AI applications and agentic workflows.
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Starting Price
FreeBraintrust
AI Development & Testing
AI observability platform with Loop agent that automatically generates better prompts, scorers, and datasets from production data. Free tier available, Pro at $25/seat/month.
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Starting Price
FreeFeature Comparison
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Opik - Pros & Cons
Pros
- ✓Fully open-source with no feature gating — self-host with complete functionality at zero cost
- ✓Automated prompt optimization removes manual trial-and-error from prompt engineering
- ✓Built-in guardrails provide safety and compliance without external dependencies
- ✓CI/CD-native testing catches LLM regressions before they reach production
- ✓Comprehensive tracing works across LLM calls, RAG systems, and multi-agent workflows
- ✓Free cloud tier eliminates infrastructure management for small teams and individual developers
Cons
- ✗Self-hosted deployment requires managing infrastructure (ClickHouse, Redis, etc.)
- ✗Enterprise pricing is not publicly listed — requires contacting sales
- ✗Focused on LLM applications — not designed for traditional ML model training workflows
- ✗Learning curve for teams new to observability and evaluation concepts
Braintrust - Pros & Cons
Pros
- ✓Loop agent automatically generates better prompts from production data — unique differentiator
- ✓Free tier includes Loop agent for testing before committing
- ✓Prevents production LLM failures worth $5K-50K each through systematic evaluation
- ✓Pro at $25/seat pays for itself preventing a single quality incident
- ✓Integrates with all major LLM providers for unified evaluation
Cons
- ✗Requires coding skills for setup — non-technical teams will struggle
- ✗Free tier limited to 2 members and 1K rows, forcing quick upgrade
- ✗Enterprise pricing opaque, requires sales process
- ✗Overkill for simple LLM use cases that don't need systematic evaluation
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