Braintrust vs Helicone

Detailed side-by-side comparison to help you choose the right tool

Braintrust

🔴Developer

LLM Observability

Braintrust is an evals-first LLM observability platform combining production tracing, prompt playgrounds, autoevals, and Topics-based pattern discovery for teams shipping AI in production.

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Starting Price

Free

Helicone

🔴Developer

LLM Observability

Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.

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Starting Price

Free

Feature Comparison

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FeatureBraintrustHelicone
CategoryLLM ObservabilityLLM Observability
Pricing Plans340 tiers4 tiers
Starting PriceFreeFree
Key Features
  • Workflow Runtime
  • Tool and API Connectivity
  • State and Context Handling
  • Proxy-Based Request Logging
  • Cost Analytics & Budget Alerts
  • Gateway-Level Caching

💡 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

  • Evals-first design with versioned datasets, side-by-side prompt comparisons, and autoevals library means iteration is the default workflow, not an afterthought
  • Brainstore (purpose-built for AI traces) and the official MCP server make large-scale log search and IDE-driven prompt iteration meaningfully faster than competitors
  • Generous Starter tier ($0/mo with 1 GB processed data, 10k scores, unlimited users/projects/datasets) lets teams ship real evals before paying anything

Cons

  • $249/month Pro tier is a steep first paid step versus self-hosting Langfuse, which is free if you run the open-source version on your own infrastructure
  • Topics token costs ($0.06/mtok input, $0.40/mtok output beyond credits) can spike quickly on chatty production traffic with custom facets
  • No built-in LLM gateway, prompt router, or model fallback layer — you still need OpenRouter or similar for routing and resilience

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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🔒 Security & Compliance Comparison

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Security FeatureBraintrustHelicone
SOC2✅ Yes✅ Yes
GDPR✅ Yes✅ Yes
HIPAA✅ Yes❌ No
SSO✅ Yes✅ Yes
Self-Hosted❌ No✅ Yes
On-Prem❌ No✅ Yes
RBAC✅ Yes✅ Yes
Audit Log✅ Yes
Open Source❌ No✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data ResidencyUS, EU
Data Retentionconfigurableconfigurable
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