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Do benchmarks actually test what you care about, the way you think?

Describe your intent. BenchBrowser finds benchmark items that approximate it so you can spot coverage gaps (content validity) and check whether model rankings remain stable across operationalizations (convergent validity).

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Describe intent
Use plain English or topic/skill/application tags.
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Review evidence
Select benchmark items that truly match your intent.
3
Analyze validity
Compare queries (coverage) + check model ranking stability (convergence).
Processing your query...
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Generating testcases
Creating embeddings
Scoring samples
How to Use BenchBrowser Analyze Content Validity Analyze Convergent Validity
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Verify Coverage Alignment
Content Validity Diagnosis
See which facets of your intent are represented across benchmarks—topics, formats, difficulty, and subskills.
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Find Coverage Gaps
Content Validity Diagnosis
Surface missing or rare facets of your use case—especially when benchmarks focus on adjacent but non-identical tasks.
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Check Consistency of Conclusions
Convergent Validity Diagnosis
Check whether different benchmark operationalizations lead to similar model rankings—or contradictory takeaways.
Try:
Limitations Read before interpreting diagnoses

BenchBrowser is intended to support validity investigation, not replace practitioner judgment. Among several practical limitations, two are especially important:

Diagnosis results are recommendations
Validity is stakeholder dependent. The overlap and ranking-risk panels should be corroborated by the practitioner, especially when benchmark evidence only partially matches the intended use case.
Coverage is bounded by the backend index
The current analysis is limited to a fixed set of indexed benchmarks and model evaluations. We are working to expand both, but this limits what practitioners can infer about how their use case is represented across the broader universe of benchmarks.