Ko-GDPval
Agents complete 170 Korean office tasks from 58 occupations in 11 industries and produce deliverable files. Rubrics grade data, content, structure, quality and format.
Upstage built it in house in the style of OpenAI's GDPval, from its OfficeVerse task pipeline.
- Made by
- Upstage
- Released
- July 2026
- Kind
- Tasks from real jobs
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- Kept private
- Last in a launch post
- August 2026
- Last model added
- August 2026
- Scores refreshed
- November 12th, 2026
Solar Pro 4 leads with 87.3%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1
Solar Pro 4 87.3%
- 2
Solar Open 2 86.8%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 87.3% | Aug 2026 | Lab model card | |
| 2 | | 86.8% | Jul 2026 | Lab model card |
The benchmark's own leaderboard has 2 models. We plot every source in the charts below.
2 models have held number one in labs’ own numbers since its release in July 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Solar Open 2 on the official leaderboard passed 85% in July 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official Ko-GDPval leaderboard and labs’ model cards
One lab put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Aug 11, 2026 | 87.3 | Ko-GDPval* (in-house) | |
| Jul 22, 2026 | 86.8 | Ko-GDPval (in-house) |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jul 22, 2026 | | 86.8 | Ko-GDPval, in-house, 170 tasks, overall score (Table 4 and Table 5). Dimensions: Data 83.5, Content 89.1, Structure 96.5, Quality 79.2, Value 82.0, Format 86.7, File Format 99.8 | Capabilities |
2 lab claims next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 2 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 86.8% Ko-GDPval (in-house) | 86.8% Leaderboard | Same |
| | 87.3% Ko-GDPval* (in-house) | 87.3% Leaderboard | Same |
More in Economic work
- JobBench In use 130 tasks from 35 occupations workers most want delegated. Agent works through messy reference files, graded by fact-anchored binary rubrics. GLM-5.3 61.4%
- 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). Claude Fable 5 75.9%
- 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%