Helicone vs Braintrust
Detailed side-by-side comparison to help you choose the right tool
Helicone
🔴DeveloperBusiness Analytics
Open-source LLM observability platform and API gateway that provides cost analytics, request logging, caching, and rate limiting through a simple proxy-based integration requiring only a base URL change.
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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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FreeFeature Comparison
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Helicone - Pros & Cons
Pros
- ✓Proxy-based integration requires only a base URL change — genuinely zero-code setup for OpenAI and Anthropic users
- ✓Real-time cost analytics with per-user, per-feature, and per-model breakdowns are best-in-class for LLM spend management
- ✓Gateway-level request caching can reduce API costs 20-50% for applications with repetitive queries
- ✓Open-source with self-hosted option gives full data control for security-conscious teams
- ✓Built-in rate limiting and retry logic at the proxy layer eliminates operational code from your application
Cons
- ✗Proxy architecture adds 20-50ms latency per request, which compounds in latency-sensitive agent loops
- ✗Individual request-level visibility doesn't capture multi-step agent workflows or retrieval pipeline context natively
- ✗Session and trace grouping features are less mature than Langfuse or LangSmith's dedicated tracing capabilities
- ✗Free tier limited to 10,000 requests/month — production applications will quickly need the $20/seat/month Pro plan
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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