Braintrust vs HoneyHive (2026)
vs
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Teams that want structured evals, experiments, and datasets tied to production traces
Best For
Enterprise teams managing prompts and running evals
Product Summary
Braintrust is an LLM evaluation and observability platform. Compare its evals, tracing, pricing, pros and cons, and alternatives.
Product Summary
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
Starting Price
Free
Starting Price
paid
Free Trial
No
Free Trial
No
Free Version
Yes
Free Version
No
Website
Website
Key features
Core capabilities each platform advertises.
- Experiments comparing prompts and models
- Code-based and LLM-as-judge scorers
- Datasets built from production traces
- Production logging and tracing
- Prompt management
- Regression testing
- SOC 2
- Annotation queues
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Unlimited users on every plan, including free
- Production traces, datasets, and experiments connect in one eval workflow
- Framework-agnostic SDKs across multiple languages
- Loop agent drafts scorers and datasets from your own data
Cons
- Processed data and scores bill separately, and both grow with eval volume
- 14-day retention on Starter and 30 days on Pro
- Gateway is in public preview with no SLA
- Self-hosting and custom data export are Enterprise only
Pros
- Comprehensive observability with OpenTelemetry-native distributed tracing across 100+ LLMs and frameworks
- Strong security and compliance (SOC 2 Type II, GDPR, HIPAA) with flexible deployment options
- Built-in evaluation tools with 25+ pre-built evaluators and human review workflows
- Centralized prompt versioning with Git-native version control and GitOps workflows
- Session replay and multi-agent system visualization for debugging complex AI applications
Cons
- Pricing information not transparently available on website
- May have steep learning curve for teams new to AI observability
- Enterprise-focused features may be overkill for smaller projects
Braintrust or HoneyHive — which should you choose?
Choose Braintrust if you wantChoose if you want
- Iterating on prompts with production data
- Running evaluations across model versions
- Building golden datasets from production traffic
- Human review of LLM outputs
Choose HoneyHive if you wantChoose if you want
Data not available
Compare Braintrust and HoneyHive on your own traffic
10KFree traces/mo
1,000+Models
5 minSetup
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
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