LuminaBench
Writing benchmark / Lech Mazur

Creative Story Writing — Lech Mazur

Lumina VerifiedLumina checked the published sources, versions, model labels, score extraction and conversion. External evaluations were run by their publishers; Lumina has not independently rerun or reproduced them.

Comparison rating

Version Creative-pairwise-60-writers-20261106Verified 6 November 202660 published resultsOfficial source

Creative Story Writing — Lech Mazur

LuminaBench
Show
20 of 56 models · best variant per model
03006009001,2001,139Claude Fable 5.1High1,137Claude Opus 5.5High1,137Claude Opus 5xHigh1,127GPT-6 AstraHigh1,110GLM-5.3Max1,105Claude Fable 5High1,102Kimi K3.1 ProHigh1,092GPT-5.6 SolxHigh1,090GPT-5.5xHigh1,089Kimi K31,074GPT-5.4Medium1,073Muse WonderHigh1,067Claude Opus 4.7High1,063Claude Sonnet 4.6 Thinking 16K1,059Xiaomi MiMo V2.6 Pro (thinking)1,044Claude Opus 4.6 Thinking 16K1,031Gemini 4 ArgonHigh1,031Claude Opus 4.8xHigh1,031Muse Spark 1.1High1,023Muse Spark 1.3High

No comparable per-task resource measurements were published. Missing metrics are omitted from their graph; quality scores remain available.

Results table

Method & coverage

60 writer models; 999 direct model pairings, 17,022 distinct story pairs and 113,566 judgements; evaluator models see matched stories in both orders. Relative comparison rating with 300 bootstrap resamples. Preserve partial-story and special configuration footnotes.

No comparable per-task resource measurements were published.

How the Lumina conversion works

1,000 + 75 × ((original score − -0.14669642857142864) / 2.1033776592631304). The result is rounded once. Scores may tie.

Frozen initial observed text-only cohort; one mean per exact publisher release/API, balancing repeated settings/routes within that release. Original score and protocol remain separate. No inferred variants or future refitting.

Calibration
writing-lechmazur-z75-v1 · experimental
Reference mean
-0.14669642857142864
Population SD
2.1033776592631304
Coverage
Standalone benchmark.
Identity, exclusions & attribution

Original measurements and exact source settings retained; unknown API, effort and harness versions remain unknown.

Text story generation and text pairwise judging.

Standalone text benchmark; no new combined index. Source identity/effort/protocol qualifications remain in Data and CSV.

All published reasoning settings, including Claude Max, are included by default. Display labels use Low and xHigh; source labels remain in the retained records.

Official source

Publisher terms. Scores and resource figures are attributed to the original publisher.