Braintrust vs Helicone
Detailed side-by-side comparison to help you choose the right tool
Braintrust
🔴DeveloperAI evaluation
AI evals, prompt iteration and observability platform
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FreeHelicone
🔴DeveloperAI observability
open-source LLM observability and gateway platform
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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
- ✓Strong fit for production AI teams because traces, datasets and experiments live in one workflow
- ✓Starter is $0/month with 1 GB processed data, 10k scores and 14-day retention
- ✓Pro is $249/month with 5 GB processed data, 50k scores, 30-day retention and priority support
- ✓Framework agnostic with Python, TypeScript, Go, Ruby and C# SDKs
Cons
- ✗The value shows up after you have real traffic or evaluation datasets; it may be overkill for prototypes
- ✗Data and score overages require attention on high-volume products
- ✗Enterprise deployment choices need procurement and security review
Helicone - Pros & Cons
Pros
- ✓Open-source positioning and one-line integration reduce adoption friction
- ✓Pricing is more transparent than many LLM observability tools
- ✓Combines observability and gateway controls in one product
Cons
- ✗Hobby plan limits retention to 7 days and ingestion to 10 logs/min
- ✗Advanced compliance and Slack support start at the $799/month Team tier
- ✗Teams needing deep eval workflows may still compare against Braintrust or Langfuse
Not sure which to pick?
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