The Braintrust Alternative: Evals Plus the Full Ops Stack
Braintrust is a strong evaluation platform. Fluiq adds production tracing, security scanning, and response caching alongside evals, all from two lines of Python, with no manual scoring scaffolding.
Free tier · No credit card · 2-minute setup
Feature comparison
How Fluiq and Braintrust stack up across the features that matter in production.
Fluiq~ = partial support · - = not available
An honest take
We'll be straight. Here's where Braintrust genuinely excels, and where Fluiq goes further.
Where Braintrust shines
- Best-in-class evaluation UX, Braintrust's playground and scoring interface are genuinely excellent for prompt iteration.
- Strong human-in-the-loop annotation workflows with side-by-side diff views.
- Dataset versioning and regression testing suite are mature and well thought-out.
- Good CI integration with the ability to gate on eval thresholds.
Where Fluiq pulls ahead
- Production-first: Fluiq auto-instruments every LLM call at the SDK level, you get full trace trees, latency histograms, and cost attribution without writing a single logging call.
- Inline eval modes: fluiq.eval(mode='warn') flags low-scoring responses on the trace; mode='block' intercepts them before they reach users.
- Security included: prompt injection blocking, PII redaction, jailbreak scoring, and secret leak prevention run on every production call, not just in eval scripts.
- Response caching: trace-driven Redis caching serves repeated prompts instantly, cutting LLM spend without any code changes.
- Transparent judging: every score records the exact judge prompt and version behind it, and each org can edit those prompts. You can then diff any two dataset runs to see what regressed, and gate CI with python -m fluiq.ci.
- Two lines replace an entire boilerplate setup, no manual span context, no custom scorers to wire up.
Switch from Braintrust in minutes
Remove init_logger, @traced, and manual score calls. Fluiq runs LLM-as-judge automatically on every traced response.
Before, Braintrust
import braintrust
from braintrust import traced, init_logger
logger = init_logger(project="my-project", api_key="bt_...")
@traced
def run_pipeline(query: str) -> str:
response = openai_client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": query}],
)
result = response.choices[0].message.content
# manual scoring
logger.log(scores={"quality": score_quality(result)})
return resultAfter, Fluiq
import fluiq
fluiq.instrument(api_key="fl_...")
fluiq.eval(mode="warn") # automatic LLM-as-judge on every call
# @trace for named agent spans (optional)
from fluiq import trace
@trace
def run_pipeline(query: str) -> str:
response = openai_client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": query}],
)
return response.choices[0].message.contentPricing
What each one costs
Braintrust is the closest comparison, and its model is the sanest in the category: a platform fee plus token pass-through, with scores at $2.50 per 1,000 falling to $1.50 on Pro. Fluiq prices the same way but splits by depth, because a three-model jury reading a forty-step trajectory is not the same work as one relevance check and should not cost the same. Braintrust has the better playground; Fluiq adds production tracing and security scanning that Braintrust does not ship.
Free
$0
Unlimited traces, 100 evals and 1,000 security scans a month. Bring your own provider keys.
Starter
$29/mo
2,000 evals, 50k security scans, unlimited retention, multi-model judge jury.
Team
$149/mo
10,000 evals, 500k security scans, response caching, SSO.
Growth
$499/mo
50,000 evals, 2M security scans, priority support.
Starter
$0
$10 of model credits, 10,000 scores, 1 GB data, 14-day retention.
Pro
$249/mo
$249 of credits, 50,000 scores, 5 GB data, 30-day retention.
Enterprise
Custom
Custom retention and export.
Braintrust pricing from their public pricing page, checked July 2026. Plans change; check theirs before deciding.
Ready to switch?
Free tier. No credit card. Full observability, security, and evals on your first LLM call.
Unlimited free traces · 100 evals & 1,000 security scans / month · 14-day retention