Agents & tool use

GDPx

by SemiAnalysis (Max Kan, Andrew Megalaa, Dylan Patel)

What is GDPx? GDPx is an agents & tool use eval made by SemiAnalysis (Max Kan, Andrew Megalaa, Dylan Patel). A benchmark of 206 long, realistic agent tasks across 11 domains, including chip design, cybersecurity, biology, finance, legal, quant trading, hardware design, materials science, alignment and software engineering. Tasks come from 14 data partners that build reinforcement-learning environments. Each model runs in its own native coding harness with a default 8-hour limit, and the headline score is pass@1 over three attempts with every domain weighted equally. At launch on 2 Nov 2026 the top score was 12.0%, so the tasks are far from solved. The authors call it a successor to GDPval and plan a new version every 3 to 6 months.

Page last updated 2026-10-18 · Evals Review

Editor note

A benchmark of 206 long, realistic agent tasks across 11 domains, including chip design, cybersecurity, biology, finance, legal, quant trading, hardware design, materials science, alignment and software engineering. Tasks come from 14 data partners that build reinforcement-learning environments. Each model runs in its own native coding harness with a default 8-hour limit, and the headline score is pass@1 over three attempts with every domain weighted equally. At launch on 2 Nov 2026 the top score was 12.0%, so the tasks are far from solved. The authors call it a successor to GDPval and plan a new version every 3 to 6 months.

What it tests
Whether frontier agents can finish multi-hour expert work in real technical and professional environments.
Original source
gdpx.semianalysis.com
Last updated
Launched 2026-11-02
License
Not checked yet — see source

Facts come only from the linked source (checked 15–16 Oct 2026). Credit belongs to the creators. We don't score or rank evals: how we review.

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