Braintrust

Braintrust is an evals-first control layer for LLM...

8.3/10 Strong

Active

$0 Starter / $249 Pro / Enterprise custom, plus usage meters

Best plan

Use Starter for prototypes and early evals, Pro when shared AI...

Risk: The monthly plan price is not the whole bill: topics...

Try Braintrust free

Editorial · no paid placements

Should you use it?

Braintrust is an evals-first control layer for LLM products. Pick it when the team needs traces, datasets, experiments, prompt playgrounds, scores, human review, and monitoring tied to release decisions. Compare LangSmith for LangChain-native operations and Langfuse or Helicone when open-source observability or gateway control matters more.

Buy if AI product teams that need repeatable evals before each release
Pick Use Starter for prototypes and early evals, Pro when shared AI teams need more processed data, scores, retention, charts, environments, RBAC, and support, and Enterprise when deployment, retention, export, privacy, or procurement needs are custom
Skip if Teams that only need a cheap API gateway

Plan guidance

What to buy

Best plan Use Starter for prototypes and early evals, Pro when shared AI teams need more processed data, scores, retention, charts, environments, RBAC, and support, and Enterprise when deployment, retention, export, privacy, or procurement needs are custom

Watch: The monthly plan price is not the whole bill: topics...

Price range $0 Starter / $249 Pro / Enterprise custom, plus usage meters

$0/month

Upgrade only if Not for teams that only need a cheap api gateway

The monthly plan price is not the whole bill: topics...

Current pricing source: Braintrust pricing

Fit

Use it for this, skip it for that

Best for

AI product teams that need repeatable evals before each release
Teams comparing prompts, models, retrieval settings, and agent changes
Engineering orgs that want traces, scores, datasets, playgrounds, and review workflows together
Buyers who need stronger eval discipline than a generic logs dashboard

Avoid if

Teams that only need a cheap API gateway
Buyers who want an open-source self-hosted observability product first
Simple prototypes with no eval or regression loop
Teams unwilling to model usage meters beyond the monthly plan

Watch out: The monthly plan price is not the whole bill: topics, processed data, scores, retention, eval volume, and model-provider costs should be modeled before production rollout.

Recent changes

Only what affects the decision

Jun 28, 2026
Starter
Includes $10 topic credits, 1 GB processed data, 10k scores, 14-day retention, unlimited users, projects, datasets, playgrounds, and experiments
Braintrust pricing
Jun 28, 2026
Pro
Includes $249 topic credits, 5 GB processed data, 50k scores, 30-day retention, custom charts, environments, priority support, RBAC, and more
Braintrust pricing
Jun 28, 2026
Enterprise
Listed for custom data retention/export, RBAC, premium support, and on-prem or hosted deployment for high-volume or privacy-sensitive data
Braintrust pricing

Alternatives

Best swaps

Hugging Face

Open AI collaboration hub for models, datasets, Spaces, inference endpoints, evaluations, and enterprise ML workflows.

Free hub access; Pro $9/mo; Team $20/user/mo; Enterprise from $50/user/mo; paid compute/storage · 9.3/10 LiteLLM

Open-source LLM gateway and Python SDK for one OpenAI-compatible interface across 100+ model providers, with routing, virtual ke

Free MIT core outside enterprise directory; Enterprise custom · 8.8/10 promptfoo

Open-source LLM evaluation, red teaming, vulnerability scanning, guardrails, model security, MCP proxy, code scanning, and enter

Community free / Enterprise custom / On-Premise custom · 8.8/10

Build comparison

Proof and score math Verified Jun 28

Proof

Why this recommendation is trusted

Evidence Braintrust docs index

Source: Registered source
Freshness: Current
Confidence: High confidence
Verified: Jun 28, 2026
Review: Jul 12, 2026
Volatility: Volatile

High-volatility evidence needs frequent review.

Editorial score

Unweighted average of 4 axes · confidence high

Utility 9/10

How much real work it can do for a competent operator, end to end.
Value 8/10

What you get for the dollar relative to the closest alternative.
Moat 8/10

How hard it would be for a competitor to replicate the underlying advantage.
Longevity 8/10

How likely the product is to still be best-in-class 24 months out.

Verified facts

Best For AI product teams that need one evaluation and observability system for traces, datasets, experiments, prompt testing, scoring, monitoring, playground work, and human review.
high Drifts 2026-06-28 Braintrust docs index
Pricing Anchor Braintrust pricing lists Starter at $0/month, Pro at $249/month, and Enterprise as custom pricing, with usage meters for topics, processed data, scores, and retention.
high Volatile 2026-06-28 Braintrust pricing
Watch Out For The monthly plan price is not the whole bill: topics, processed data, scores, retention, eval volume, and model-provider costs should be modeled before production rollout.
high Volatile 2026-06-28 Braintrust pricing
Open Source Or Local Braintrust SDK source is Apache-2.0 licensed, but the Braintrust hosted product is a commercial service with Starter, Pro, and Enterprise packaging.
high Drifts 2026-06-28 Braintrust SDK license
Usage Model Starter includes 1 GB processed data, 10k scores, 14-day retention, unlimited users, projects, datasets, playgrounds, and experiments; Pro raises included usage, retention, and team features while keeping overage meters.
high Volatile 2026-06-28 Braintrust pricing

Full review notes Long-form details, FAQ, and source history

Braintrust is an evaluation and observability platform for teams shipping LLM products. It helps teams collect traces, build datasets, run experiments, compare prompts, score outputs, review failures, and monitor quality over time.

The buyer question is not “do we need another dashboard?” It is “can we prove this prompt, model, retrieval change, or agent release is better than the last one?”

System Verdict

Pick Braintrust when evals drive release quality. It is strongest for teams that need traces, datasets, experiments, scores, prompt playgrounds, human review, and production monitoring in one workflow.

Skip it when gateway reliability is the main job. Helicone or Portkey are better first checks when routing, caching, failover, and provider governance are more urgent than eval management.

Best plan guidance: start on Starter for early prototypes and regression tests. Move to Pro when a shared AI team needs more included processed data, scores, retention, RBAC, charts, environments, and support. Use Enterprise when retention, export, self-host or hosted deployment, privacy, and support need contract terms.

Key Facts


Core job	LLM evals, traces, datasets, experiments, prompt testing, monitoring, and review
Starter	$0/month with included processed data, scores, and 14-day retention
Pro	$249/month with higher included usage, 30-day retention, RBAC, charts, environments, and support
Enterprise	Custom pricing with retention, export, hosting, and support options
SDK license	Apache-2.0 for the Braintrust SDK
Main cost risk	Processed data, scores, topics, retention, eval volume, and model-provider spend

When To Pick Braintrust

You need a real eval loop. Braintrust is a better fit when the team tests changes against datasets instead of relying on ad hoc manual checks.
You compare models and prompts often. Experiments and playground workflows help teams make model, prompt, and retrieval changes with a paper trail.
You need trace-linked quality review. Traces, scores, and human review are useful when product incidents need root-cause analysis.
You ship agents or RAG. Braintrust helps evaluate tool calls, retrieval output, answer quality, and behavior changes across releases.
You need AI-specific monitoring. It is built for LLM quality and cost analysis, not generic server observability.

When To Pick Something Else

LangChain-native stack: LangSmith when LangChain or LangGraph traces, deployments, sandboxes, Fleet, and Engine controls are the center of gravity.
Open-source observability: Langfuse when self-hosting posture and prompt management are central.
Gateway control: Helicone or Portkey when routing, failover, caching, provider keys, and traffic governance matter most.
Security red teaming: promptfoo when jailbreak, vulnerability scanning, guardrails, MCP proxy, and compliance testing are the first job.
No-code agent building: Dify or Flowise when the buyer wants to build apps and workflows rather than run eval infrastructure.

Pricing

Braintrust pricing was checked on June 28, 2026 against the official pricing page.

Plan	Public price	Included shape	Buyer fit
Starter	$0/month	$10 topic credits, 1 GB processed data, 10k scores, 14-day retention	Prototypes, small teams, first eval loops
Pro	$249/month	$249 topic credits, 5 GB processed data, 50k scores, 30-day retention, RBAC, custom charts, environments, priority support	AI-native teams shipping production LLM features
Enterprise	Custom	Custom retention/export, hosted or on-prem options, premium support, privacy-sensitive deployment	Large teams, regulated data, high volume

The practical buying advice: model the real workflow, not only the plan card. A serious eval program can create spend through traces, processed data, judge scores, topics, retention, review volume, and model calls.

Failure Modes

The eval set can be weak. Braintrust will not save a team from vague rubrics, stale examples, or test cases that do not match real users.
Usage meters matter. Processed data, scores, and topics can grow as the team adds more experiments and monitoring.
Human review still costs time. Better workflows reduce chaos, but reviewers still need clear standards and ownership.
It is not a gateway by itself. Pair it with a gateway or provider policy layer when the main problem is routing, failover, and budget enforcement.
Privacy review is still required. Traces can contain prompts, user data, retrieved context, tool outputs, and internal notes.

Methodology

This page was produced by the aipedia.wiki editorial pipeline. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-28 against Braintrust pricing, Braintrust docs, and the Braintrust SDK license.

FAQ

Is Braintrust free? Braintrust lists a Starter plan at $0/month with included usage. Production teams should still model processed data, scores, topics, retention, and model-provider spend.

Braintrust vs LangSmith? Braintrust is stronger when evals and experiment management are the central workflow. LangSmith is stronger for teams already using LangChain or LangGraph and needing first-party agent operations.

Is Braintrust open source? The Braintrust SDK is Apache-2.0 licensed. The hosted Braintrust product is commercial.

Sources

Braintrust pricing: Starter, Pro, Enterprise, usage meters, retention, and included limits
Braintrust docs index: official docs surface for eval, tracing, prompt, dataset, and monitoring workflows
Braintrust SDK license: Apache-2.0 SDK licensing

Category: AI Infrastructure · AI Automation · AI Coding
Alternatives: LangSmith · Langfuse · Helicone · promptfoo

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According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/braintrust/)

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aipedia.wiki Editorial. (2026). Braintrust: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/braintrust/

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aipedia.wiki Editorial. "Braintrust: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/braintrust/. Accessed July 2, 2026.

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aipedia.wiki Editorial. 2026. "Braintrust: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/braintrust/.

BibTeX

@misc{braintrust-editorial-review-2026,
  author = {{aipedia.wiki Editorial}},
  title = {Braintrust: Editorial Review},
  year = {2026},
  publisher = {aipedia.wiki},
  url = {https://aipedia.wiki/tools/braintrust/},
  note = {Accessed: 2026-07-02}
}

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