Braintrust vs Helicone
Detailed side-by-side comparison to help you choose the right tool
Braintrust
🔴DeveloperAI evaluation and observability
Evaluation, tracing and observability platform for measuring agent quality.
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Starting Price
FreeHelicone
🔴DeveloperLLM Observability
Open-source LLM observability, gateway, and cost analytics platform — proxy your OpenAI, Anthropic, or Bedrock calls through Helicone and get traces, caching, retries, rate limiting, and cost tracking in one line of code.
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FreeFeature Comparison
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💡 Our Take
Choose Braintrust if you're building production LLM apps that need systematic evaluation, automated prompt optimization, and multi-provider support beyond OpenAI. Choose Helicone (~$20/month) if you only need simple OpenAI usage tracking, cost monitoring, and basic logging without evaluation infrastructure. Helicone is the simpler drop-in for solo developers; Braintrust is the full quality platform for engineering teams of 3+.
Braintrust - Pros & Cons
Pros
- ✓Links production traces to datasets, experiments, scorers, and prompts
- ✓Supports repeatable regression tests across models and versions
- ✓Official MCP server can bring evaluation operations into agent workflows
Cons
- ✗$249 monthly Pro price can be high for small teams beyond Starter
- ✗High-value evals require domain datasets and carefully designed scorers
- ✗Prompt and output logging creates privacy and access-control obligations
Helicone - Pros & Cons
Pros
- ✓5-minute proxy integration captures full traces, cost, and latency across 20+ providers
- ✓Real AI gateway features (caching, retries, fallback, key vault) replace a custom proxy
- ✓MIT-licensed and self-hostable on Postgres + ClickHouse — passes regulated procurement
Cons
- ✗Proxy mode adds a network hop unless self-hosted in your own region
- ✗Prompt experiment UX is less mature than dedicated eval platforms like Braintrust
- ✗Self-hosting requires running ClickHouse, which is an extra ops surface
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