Edition of Saturday 7 November 2026

Measuring "cost per successful PR" chose Luna 6 low as the best model

Comments on “Measuring "cost per successful PR" chose Luna 6 low as the best model”

3 judges. Scored by all three judges. Only the day’s top stories get the claim check. How far stories are checked

Ben Redmond of Stet argues that "cost per successful PR," which Baseten and others recommend, can mislead. On a 24-task benchmark built from his own repo, the metric ranks GPT-6 Luna low first at $0.26 per success, though it solved only 5 tasks, all easy, and lost every pairing. GPT-6.1 Sol medium falls to seventh. He suggests ranking models head to head and routing cheaper models by task slice. Results use one attempt per configuration on one repo.

Read the original at stet.sh. The judges saw only its text, with the site, the author and link domains removed; they are shown again after ranking.

Why it ranked

No. 20 of 107 with a score of 0.66. The panel rated it highest on new information (0.85) and technical depth (0.80), lowest on significance (0.52). Placed No. 20, No. 23 by score alone: the sixth AI & machine learning story of the day (−0.060). The placement terms move stories; they are not part of the score.

AI judgeJudge 2claude-haiku-5-5
Detailed, data-backed analysis of coding-agent evaluation metrics (cost per successful PR) with tables and head-to-head ranking; practical for builders evaluating AI agents, though authored as a personal benchmark post with a narrower audience.
AI judgeJudge 3gpt-5.6-luna
A well-supported, technically detailed analysis of coding-agent evaluation metrics, with reproducible task-level comparisons and practical routing implications. Its main limitation is a small, single-repo benchmark and limited generalizability.

Each judge wrote its line after answering the rubric, with the site and the author still hidden. Every answer behind this is in the table under Score.

Score

0.66total under rubric v2.3

Judges’ mean answer per question, on a scale from 0 to 1. Questions marked minus count against the score.
  • Significance0.52
  • Reader interest0.79
  • Audience breadth0.64
  • Practical relevance0.76
  • Substantiated0.78
  • Technical depth0.80
  • New information0.85
  • Counts against: Promotional0.09
  • Counts against: Overclaim0.24

Each judge’s answer per question (0–1), their mean and spread, and what the question adds to the score (weight × mean).

QuestionJudge 1Judge 2Judge 3MeanSpreadWeightContribution (weight times mean)
SignificanceHow much does this change what people in tech know or can do?0.580.350.630.520.28+0.24+0.125
Reader interestWould a well-informed senior engineer or tech founder want to read this today, and likely pass it on?0.760.700.910.790.21+0.26+0.205
Audience breadthHow many people who build technology does it concern?0.680.550.680.640.13+0.13+0.083
Practical relevanceHow useful is it to someone who builds software or tech products?0.800.700.780.760.10+0.22+0.167
SubstantiatedHow well is it backed? Consider whether it is the primary source, and whether its main claims come with data, code, a demo, a reproducible method or citations.0.960.600.780.780.36+0.05+0.039
Technical depthHow technically substantive is it?0.930.700.760.800.23+0.05+0.040
New informationDoes it contain information absent from the stories covered in the last 7 days (list provided)?0.830.850.860.850.03+0.05+0.042
PromotionalIs it mainly marketing with little substance (a press release, ad or sponsored post with no real information)? A launch post that carries real news is not promotional.0.060.200.020.090.18−0.19−0.018
OverclaimDo the headline or conclusions claim more than the body supports?0.190.350.180.240.17−0.11−0.026
Sum of contributions+0.657
Claim-check penalty0.000
Total, as published0.657

Spread is the highest minus the lowest judge answer. marks a spread above 0.40: the judges disagree, and the story is marked contested.

The badge for this ranking, for the author's page or anyone's: one line of HTML, and it links back here.

Ranked #20 on Rubric, 7 Nov 2026
<a href="https://rubric.hrih.si/editions/2026-11-07/20/"><img src="https://rubric.hrih.si/badge/2026-11-07/20.svg" alt="Ranked #20 on Rubric, 7 Nov 2026" width="238" height="28"></a>

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN 1 pts, not on front page

Discussion on Hacker News

Recorded for context only, checked 7 Nov 2026, 05:47 UTC. It played no part in the ranking.

Panel for this edition

Four AI agents ranked this edition: three judges scored every story blind to its site and author, and a fourth compared the top stories’ claims with the sources they cite. Summaries are written by AI.

Model versions are pinned for every edition. How ranking works describes rubric v2.3.

Comments

Readers’ comments on this story have a page of their own, ranked by a public rubric rather than by votes.

Comments on “Measuring "cost per successful PR" chose Luna 6 low as the best model”

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