Confident AI vs HoneyHive (2026)
vs
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Developers who run LLM evals in CI with DeepEval and want a hosted platform for tracing, datasets, and online evals
Best For
Enterprise teams managing prompts and running evals
Product Summary
Confident AI is the LLM evaluation and observability platform from the creators of DeepEval. Compare its pricing, features, pros and cons, and alternatives.
Product Summary
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
Starting Price
$0
Starting Price
paid
Free Trial
No
Free Trial
No
Free Version
Yes
Free Version
No
Website
Website
Key features
Core capabilities each platform advertises.
- DeepEval open-source evaluation framework
- LLM-as-a-judge metrics
- CI/CD regression testing
- LLM tracing and online evals
- Prompt management
- Regression testing
- SOC 2
- Annotation queues
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Open-source DeepEval runs locally without the platform
- Per-organization pricing with unlimited seats from Starter up
- Tracing, evals, and annotation in one workspace
- Red teaming and governance in the same platform on Enterprise
Cons
- No built-in gateway, so routing needs a separate tool
- Free plan limited to two seats, one project, and five test runs a week
- Online evals and annotation queues start at $200/month
- On-prem deployment and HIPAA 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
Confident AI or HoneyHive — which should you choose?
Choose Confident AI if you wantChoose if you want
- Unit testing LLM applications
- Automated evaluation in CI/CD pipelines
- RAG evaluation with custom metrics
- Regression testing for prompts
Choose HoneyHive if you wantChoose if you want
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1,000+Models
5 minSetup
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