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Anthropic (Internal)

company · United States

Scores

1 product on the map — 1 closed.

Anthropic Internal Coding Evals

Openness

0 high confidence
0.0
data
closed(internal coding eval/take-home exam sets, never published)
datasheet
no
license
none
access
internal-only(referenced in announcements/system cards, not distributed)

Internal proprietary coding eval sets; only narrative results are mentioned, the data is not redistributable.

  • https://www.anthropic.com/news/claude-opus-4-5 recorded 2026-09-22

    "We give prospective performance engineering candidates a notoriously difficult take-home exam. We also test new models on this exam as an internal benchmark."; partner quotes reference surpassing "internal coding benchmarks". Neither the exam nor the benchmarks are published, and no license or datasheet appears anywhere on the page

Adoption

not assessed

Internal-only eval sets used solely by Anthropic: no external users, no downloads, and no third-party citation as a runnable standard. There is no honest external adoption signal to record, so the level is left deliberately unscored rather than guessed at.

  • https://www.anthropic.com/news/claude-opus-4-5 recorded 2026-09-29

    The page says "We also test new models on this exam as an internal benchmark" and quotes "Accuracy on our internal evals improved 20%" as a partner result. Searched the body for downloads, leaderboard and usage counts for these evals: none published.

Capability

not assessed

Capability is not a meaningful axis for an eval dataset, so it is left unscored. The announcement reports the model's scores rather than any capability of the eval sets themselves.

  • https://www.anthropic.com/news/claude-opus-4-5 recorded 2026-09-29

    The page describes an exam used as "an internal benchmark" and reports "Claude Opus 4.5 beats Sonnet 4.5 and competition on our internal benchmarks" as model results; it publishes no feature list or row describing the eval sets. Searched the body for capability matrix, leaderboard and eval-set specification: none.