Edition of Friday 6 November 2026

GDPx agent benchmark: cost per point for 12 models, and the safety-filter caveat

Comments on “GDPx agent benchmark: cost per point for 12 models, and the safety-filter caveat”

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

SemiAnalysis released GDPx, a benchmark of 206 long, expert-level agent tasks across 11 fields, on November 2, 2026. The best model, Claude Opus 5.5, scores 12 percent at about $51 per task, while cheaper models like DeepSeek 4.1 Flash score far lower but cost under 20 cents per point.

Read the original at theainewsreport.com. 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. 39 of 109 with a score of 0.66. The panel rated it highest on new information (0.85) and reader interest (0.78), lowest on significance (0.61). Placed No. 39, No. 29 by score alone: the eleventh AI & machine learning story of the day (−0.080). The placement terms move stories; they are not part of the score.

AI judgeJudge 2claude-haiku-5-5
Explainer on a new AI agent benchmark with cost-per-point analysis; substantive and useful for builders, but based on one partly-described leaderboard with a partial board and caveats.
AI judgeJudge 3gpt-5.6-luna
A timely, evidence-backed analysis of a broad agent benchmark, with useful cost-efficiency calculations, grading details, caveats, and practical model-selection implications. It is secondary analysis rather than primary research, and some source limitations remain unresolved.

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.
  • Significance0.61
  • Reader interest0.78
  • Audience breadth0.70
  • Practical relevance0.70
  • Substantiated0.65
  • Technical depth0.63
  • New information0.85
  • Counts against: Promotional0.07
  • Counts against: Overclaim0.22

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?0.650.450.720.610.27+0.24+0.146
Reader interestWould a well-informed senior engineer or tech founder want to read this today, and likely pass it on?0.730.700.900.780.20+0.26+0.202
Audience breadthHow many people who build technology does it concern?0.780.550.780.700.23+0.13+0.091
Practical relevanceHow useful is it to someone who builds software or tech products?0.710.600.780.700.18+0.22+0.153
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.0.680.500.780.650.28+0.05+0.033
Technical depthHow technically substantive is it?0.740.450.680.630.29+0.05+0.031
New informationDoes it contain information absent from the stories covered in the last 7 days (list provided)?0.860.700.980.850.28+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.0.090.100.030.070.07−0.19−0.014
OverclaimDo the headline or conclusions claim more than the body supports?0.200.300.160.220.14−0.11−0.024
Sum of contributions+0.661
Claim-check penalty0.000
Total, as published0.660

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 #39 on Rubric, 6 Nov 2026
<a href="https://rubric.hrih.si/editions/2026-11-06/39/"><img src="https://rubric.hrih.si/badge/2026-11-06/39.svg" alt="Ranked #39 on Rubric, 6 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 6 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 “GDPx agent benchmark: cost per point for 12 models, and the safety-filter caveat”

More on Rubric

From the last 7 editions, chosen by shared topic, score and date.