Braintrust alternatives

4 tools to consider instead of Braintrust, shown against it.

Braintrust DeepEval Patronus AI LangSmith Humanloop
Vendor Braintrust Data Confident AI Patronus AI LangChain Humanloop
Pricing model Usage-based Free tier + paid plans Usage-based Usage-based Quote only
Free tier Yes Yes Yes Yes Yes
Deployment Cloud, Self-hosted Cloud, Self-hosted Cloud, Self-hosted Cloud, Self-hosted Cloud, Self-hosted
Open source No Yes (Apache-2.0) No No No
Best for Teams that want evaluation and experimentation as the primary workflow, with production monitoring layered on top. Engineering teams that want LLM evaluation as unit-test-style code in CI/CD, with an optional hosted layer for production evals. Teams that want ready-made, scored evaluators for safety and accuracy risks rather than building custom scoring from scratch. Teams already building on LangChain/LangGraph that want tracing and evaluation from the same vendor. Product teams that need non-engineers to collaborate directly on prompts and evaluation, not just engineers viewing traces.
Pricing

Free Starter tier includes a small credit and data allowance with per-unit overage; Pro adds a larger allowance plus a monthly platform fee; Enterprise is custom with on-prem/hosted deployment options.

Starter $0/month
Pro $249/month
Enterprise Custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

DeepEval the library is free and open source with no limits; the companion Confident AI platform has a free tier plus Starter, Team, and Enterprise monthly subscriptions with token/trace-span overage.

DeepEval (library) Free
Confident AI Free $0/month
Confident AI Starter $200/month
Confident AI Team $2,000/month

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free Developer tier includes limited projects/experiments and $10 in evaluator credits; evaluator API calls are billed per 1,000 calls (small vs. large models priced differently); Enterprise is custom with unlimited usage and on-prem/VPC deployment.

Developer $0
Evaluator API add-on $10 per 1,000 small-model calls; $20 per 1,000 large-model calls
Enterprise Custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free Developer tier includes a monthly trace allowance per seat, then usage-based charges for compute (LCU) and storage (LSU); Plus adds paid seats and deployment features; Enterprise is custom with self-hosted options.

Developer $0/seat/month
Plus $39/seat/month
Enterprise Custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

A capped free trial (limited members, eval runs, and monthly logs) is available for evaluation; beyond that, pricing is negotiated directly with sales and not published.

Free trial $0
Enterprise Custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features
  • Dataset-based experiments comparing prompt/model changes
  • Custom scoring functions applied both offline and in production
  • Production tracing and logging
  • Prompt playground for iterating against real examples
  • Side-by-side experiment comparison views
  • Role-based access control on paid tiers
  • 30+ single-turn and 15+ multi-turn research-backed evaluation metrics
  • Open-source Python library, testable in standard CI/CD pipelines
  • Custom metric support
  • Online (production) evaluation on the Confident AI platform
  • Annotation queues and metric versioning
  • Git-based prompt workflows on Team/Enterprise
  • Pre-built evaluator models for hallucination, PII leakage, and toxicity detection
  • Custom evaluator building
  • Dataset-based experiments and model/prompt comparison
  • Evaluation API priced per call
  • Synthetic eval-dataset generation on Enterprise
  • On-prem/VPC deployment on Enterprise
  • Full request tracing for chains, agents, and tool calls
  • Offline evaluation with datasets and regression test suites
  • Human annotation queues and LLM-as-judge scoring
  • Production monitoring dashboards and alerting
  • Prompt playground and prompt version management
  • Self-hosted and hybrid deployment on Enterprise
  • Prompt versioning and collaborative editing for technical and non-technical users
  • Evaluation suites against curated datasets
  • Human-in-the-loop review queues
  • Production logging and quality monitoring
  • Role-based access control
  • Optional VPC deployment for Enterprise

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