GDPx
Agents work long tasks in simulated workplaces across 11 domains, including chip design, cybersecurity, biology, finance, quant trading and recursive self-improvement. Fourteen specialist partners built the tasks, with a default limit of 8 hours each. Score is pass@1 over three attempts, with every domain weighted equally.
Version 1.0. Claude Opus 5.5 leads at 12%. Each partner published one example task, and the rest are private. Safety classifiers lower the scores of Opus 5.5 and GPT-6 Astra on cyber, biology and alignment tasks. Finance and legal report partial credit, since every model scores 0 under binary grading. SemiAnalysis plans a new version every 3 to 6 months.
- Made by
- SemiAnalysis
- Released
- November 2026
- Kind
- Tasks from real jobs
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
No scores here yet
We have no scores for GDPx yet.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
More in Economic work
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- GDPval In use Real work tasks from 44 occupations with reference files. Experts blindly compare model deliverables with expert work. Metric is win-or-tie rate.
Seed2.1 Pro 87.9% - GDPval-AA v2.1 In use Agents with shell and web access complete 220 GDPval gold tasks from 44 occupations. Blind pairwise comparisons give Elo ratings. Claude Opus 5.5 1,846
- AA-Briefcase v1.1 In use Version 1.1 of Artificial Analysis's multi-hour office work evaluation, with Elo ratings fitted by Crowd-BT. Claude Opus 5.5 1,822
- CoWorkBench In use Agent completes long-horizon productivity tasks across computer science, finance, law and medicine. Qwen in-house scoring (method unpublished).
Qwen3.8-Omni-Flash 75.3% - OfficeQA In use Grounded reasoning over a large corpus of U.S. Treasury Bulletin documents: locate tables and compute precise numeric answers. Claude Opus 4.7 86.3%