Independent model evaluation U.S. customs brokerage

Customs intelligence,
measured.

BrokerBench tests whether language models can navigate the statutes, regulations, tariff schedule, and applied reasoning expected in licensed U.S. customs brokerage work.

evaluation items
models compared
scored / attempted results
knowledge domains

Interpretation note

A current design-review release

These results predate the current benchmark configuration.

Completion cap

01 / Leaderboard

Model performance

Compare substantive accuracy with the operational cost and response time observed during each run.

Higher score is better. Provisional runs are shown but excluded from rank.

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Efficiency frontier

Score versus cost

← Lower cost Higher score ↑

What stands out

Accuracy tells only part of the story.

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02 / Breakdown

Where models succeed—and struggle

Domain and response-format views reveal performance differences hidden by a single aggregate score.

Knowledge map

Score by customs domain

0% 100%

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Task format

Score by response type

Output discipline

Format validity

A strict format contract makes responses machine-verifiable. Truncated outputs are counted as invalid.

03 / Fresh knowledge

A post-cutoff tariff test

Fifteen classification items are locked to HTSUS 2026 Revision 11, effective after the models’ stated knowledge cutoffs, and require applying chapter notes and tariff descriptions.

Temporal holdout

2026 HTS Revision 11

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Items Chapters Benchmark as of

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Model result 15 direct classifications

Chapter detail

Fixed-evidence accuracy

Five questions per chapter

04 / Sample evaluations

See what BrokerBench asks

One independently authored example from every knowledge domain shows the reasoning, precision, and output discipline the benchmark is designed to test.

9 knowledge domains represented

These illustrative examples are separate from the scored corpus. Answers are checked against the linked official authority.

0 scored questions disclosed

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05 / Methodology

Built for auditable comparison

BrokerBench uses deterministic scoring, pinned evaluation data, and portable result records so every published aggregate can be traced to a specific run.

01

Substantive score

Unweighted mean of deterministic per-item scores.

02

Observed cost

Provider-reported cost for the complete benchmark run.

03

Observed latency

End-to-end request timing under a consistent concurrency limit.

Evaluation corpus

A broad test of broker knowledge

Questions span regulatory procedure, tariff classification, valuation, entry, origin and marking, broker compliance, and integrated practice. Exact answers are held out from this publication.

Release
Scoring
Deterministic
Repetitions
Seed policy
Response formats — items
Technical provenance
Dataset SHA-256
Source run IDs
Generation setting
Publication status design_review / current v0.2

06 / Contact

Contact us

Have a question about the benchmark, a source correction, a model evaluation request, or an interest in licensed-broker review? We’d like to hear from you.

Email BrokerBench info@brokerbench.ai Start a conversation