Benchmarks / GDPval-AA

GDPval-AA

Built by Artificial Analysis · released Dec 2025

Artificial Analysis runs OpenAI's public 220-task GDPval gold set through its own agent harness, Stirrup, and ranks models by Elo from blind pairwise comparisons of the deliverables. The judges are a panel of three frontier language models, not human experts.

Frontier

1866 Elo

GDPval-AA Elo

Claude Opus 5.5 (Max, Default Fallback) · harness: Stirrup

10 Oct 2026 · Source: Artificial Analysis (benchmark maintainers)

Rank 1 of 288 models on the GDPval-AA v2.1 board, seen 2026-10-10. Confidence interval shown as -26 / +26. Model release date shown as 2026-09-22. Claude Sonnet 5.5 (Max, Default Fallback, 1838) and Claude Opus 5.5 (Xhigh, Default Fallback, 1836) follow within the interval. Judged by a panel of three frontier LLMs, not humans. Updated 2026-10-10: the board refit moved this from 1846 (seen 2026-09-23, then labeled "Adaptive Reasoning, Max Effort, Default Fallback") to 1866; the anchor is unchanged (see the conflict file).

Unrated

No fixed reference point (for example Elo scores or field signals).

See the full leaderboard at Artificial Analysis

GDPval-AA: GDPval-AA Elo over time, 5 recorded results. 500 Elo1000 Elo1500 Elo2000 Elo2500 EloSep 2026Sep 2026Oct 2026Oct 2026Oct 2026Oct 2026 GPT-5 (High): 917 Elo (10 Oct 2026) Claude Opus 4.7 (Max): 1353 Elo (10 Oct 2026) GPT-5.6 Sol (Max): 1609 Elo (10 Oct 2026) Claude Opus 5 (Max): 1722 Elo (10 Oct 2026) Claude Opus 5.5 (Max, Default Fallback): 1866 Elo (10 Oct 2026)
Dots are recorded results; the line is the best result so far; the red dot is the current frontier. Sources for every point are in the table below.
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The image names the institutions behind the numbers and links back to this page.

HTML:

<a href="https://canagentswork.com/benchmarks/gdpval-aa/"><img src="https://canagentswork.com/og/benchmarks-gdpval-aa.png" width="600" height="315" alt="GDPval-AA: the best result is 1866 Elo (Claude Opus 5.5 (Max, Default Fallback), 10 Oct 2026)." loading="lazy"></a>

Markdown:

[![GDPval-AA: the best result is 1866 Elo (Claude Opus 5.5 (Max, Default Fallback), 10 Oct 2026).](https://canagentswork.com/og/benchmarks-gdpval-aa.png)](https://canagentswork.com/benchmarks/gdpval-aa/)

What it measures

How well a model, acting as an agent with a Linux sandbox, code execution, web search, web fetch, and image viewing, produces work deliverables (documents, slides, spreadsheets, media) for the 220 GDPval gold tasks across 44 occupations. A judge sampled from a panel of three frontier LLMs blindly picks the better of two submissions to the same task. Ratings are fitted with a Crowd-BT model and reported as Elo with 95% confidence intervals.

GDPval-AA Elo: Crowd-BT rating from blind pairwise LLM-judge comparisons of deliverables. Anchored to DeepSeek V4.1 Flash (max) at 1600 in v2.1. Ties count as half a win for each side. Higher is better.

No fixed reference point, so we do not rate its status. Elo scale with a model anchor. Scores are relative and shift when the anchor changes.

Facts

Grain
Project level: whole projects judged by an acceptance standard
Environment
cli, api-tools, documents
Grading
llm-judge
Tasks
220
Human reference
None on the current v2.1 scale. In GDPval-AA v2 (June to September 2026) the scale was anchored so that human expert performance was 1000 Elo. v2.1 re-anchored the scale to DeepSeek V4.1 Flash (max) at 1600, so the human anchor no longer applies.
Contamination
Uses the public GDPval gold subset, so models may have seen the tasks. Artificial Analysis has not published a contamination analysis.
Reuse
Tasks are OpenAI's public GDPval gold set. The Stirrup harness is open source on GitHub. Artificial Analysis publishes Elo scores and example submissions on its site. (cite-only)

Limits to keep in mind

  • Judges are language models (Claude Opus 5, GPT-5.6 Sol, Gemini 3.8 Flash in September 2026), not the human experts used in OpenAI's own GDPval grading. Source
  • The Elo scale has been re-anchored twice (v2 in June 2026 to human experts at 1000, v2.1 in September 2026 to DeepSeek V4.1 Flash at 1600). Scores from different versions are not comparable. Source
  • Each model runs once per task, and 95% confidence intervals are about plus or minus 20 to 30 Elo, so nearby ranks can swap. Source
  • Many entries are the same model at different reasoning-effort settings, so the board mixes model quality with compute budget. Source

Recorded results

A selection that shows the frontier over time. The full leaderboard is at the source.

SystemGDPval-AA EloDateSource
GPT-5 (High)
harness: Stirrup
917 Elo10 Oct 2026Artificial Analysis · primary
Claude Opus 4.7 (Max)
harness: Stirrup
1353 Elo10 Oct 2026Artificial Analysis · primary
GPT-5.6 Sol (Max)
harness: Stirrup
1609 Elo10 Oct 2026Artificial Analysis · primary
Claude Opus 5 (Max)
harness: Stirrup
1722 Elo10 Oct 2026Artificial Analysis · primary
Claude Opus 5.5 (Max, Default Fallback) · frontier
harness: Stirrup
1866 Elo10 Oct 2026Artificial Analysis · primary

Where sources disagree

Anthropic's Claude Opus 5.5 post gives 1846 Elo on GDPval-AA v2.1. The live Artificial Analysis board now shows 1866 for the same entry. Both are v2.1 with the same anchor.

  • 1866 — artificialanalysis.ai (primary) · Claude Opus 5.5 (Max, Default Fallback), -26 / +26, board seen 2026-10-10.
  • 1846 — www.anthropic.com (lab-reported) · Opus 5.5 at max effort in Anthropic's launch post, which matches the board as we read it on 2026-09-23.

We show 1866. Status: resolved.

Timeline

  • Sep 2026 — GDPval-AA v2.1 re-anchors the Elo scale. Source
  • Dec 2025 — Artificial Analysis launches GDPval-AA. Source

Where it sits in the atlas

Work ladder: Context only. It spans many occupations, so it does not set the step of a job family. How the ladder works

Management and business operationsFinance and accounting (partial)Legal (partial)Software engineering (partial)Sales and marketing (partial)Office and administrative support (partial)Healthcare (partial)Design, media, and writing (partial)Architecture and engineering (partial)

Professional deliverables

Last checked 10 Oct 2026 against 5 primary sources. See an error? Tell us.

How to cite

Credit the original work first: GDPval-AA by Artificial Analysis (https://arxiv.org/abs/2510.04374).

Then, if you used this page:

Can Agents Work. "GDPval-AA: frontier results and sources." https://canagentswork.com/benchmarks/gdpval-aa/ (accessed 2026-10-11). CC BY 4.0.
@misc{caw-gdpval-aa,
  title        = {{GDPval-AA: frontier results and sources}},
  author       = {{Can Agents Work}},
  year         = {2026},
  howpublished = {\url{https://canagentswork.com/benchmarks/gdpval-aa/}},
  note         = {Accessed 2026-10-11. CC BY 4.0}
}