Benchmark Almanac

GDPval-AA v2.1

Claude Opus 5.5 1,846 leads since Sep 2026 In use

Agents with shell and web access complete 220 GDPval gold tasks from 44 occupations. Blind pairwise comparisons give Elo ratings.

Elo anchored to DeepSeek V4.1 Flash at 1,600. Scores differ from v2: Fable 5.1 is 1853 on v2 and 1735 on v2.1.

In the authors’ words

We introduce GDPval, a benchmark evaluating AI model capabilities on real-world economically valuable tasks. GDPval covers the majority of U.S. Bureau of Labor Statistics Work Activities for 44 occupations across the top 9 sectors contributing to U.S. GDP (Gross Domestic Product). Tasks are constructed from the representative work of industry professionals with an average of 14 years of experience. We find that frontier model performance on GDPval is improving roughly linearly over time, and that the current best frontier models are approaching industry experts in deliverable quality. We analyze the potential for frontier models, when paired with human oversight, to perform GDPval tasks cheaper and faster than unaided experts. We also demonstrate that increased reasoning effort, increased task context, and increased scaffolding improves model performance on GDPval. Finally, we open-source a gold subset of 220 tasks and provide a public automated grading service at evals.openai.com to facilitate future research in understanding real-world model capabilities.

Abstract of GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks (arXiv:2510.04374, CC0)
Made by Artificial Analysis Released Sep 2026 Tasks from real jobs All tasks public Last in a launch post Oct 2026 Last model added Oct 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
8
Models scored in lab cards
8
Launch posts list it, from 6 labs
4
System cards report it, from 2 labs

2 models share the top score of 1,846

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.

Bars start at 1,200.

  1. 1 Claude Opus 5.5 1,846
  2. 2 Kimi K3.1 Pro 1,846
  3. 3 Claude Sonnet 5.5 1,844
  4. 4 MiMo-V2.6 Pro 1,673
  5. 5 Ling-3.1-flash 1,673
  6. 6 Claude Haiku 5.5 1,620
  7. 7 Step 5 Preview 1,566
  8. 8 Mercury 3 1,237
#ModelScoreSettingDateSource
1 Claude Opus 5.5 1,846 Sep 2026 Model card
2 Kimi K3.1 Pro 1,846 Oct 2026 Model card
3 Claude Sonnet 5.5 1,844 Sep 2026 Model card
4 MiMo-V2.6 Pro 1,673 Sep 2026 Model card
5 Ling-3.1-flash 1,673 Oct 2026 Model card
6 Claude Haiku 5.5 1,620 Oct 2026 Model card
7 Step 5 Preview 1,566 Sep 2026 Model card
8 Mercury 3 1,237 Oct 2026 Model card

2 models have held number one since its release in Sep 2026

Lab claims count from the day the card came out, independent runs from the model’s release.

StepFun Anthropic
Lab claims 2 leaders

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
1,200 1,400 1,600 1,800 2,000 2027 1,200 1,400 1,600 1,800 2,000 2027

6 labs 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.

StepFun
Anthropic
Xiaomi Corp
Ant Group
Inception Labs
Moonshot AI
DateLaunch postScoreAs the post writes it
24 Oct 2026 Kimi K3.1 Pro 1846 GDPval-AA v2.1 (Elo-score)
19 Oct 2026 Mercury 3 1237.2 GDPval (Elo)
13 Oct 2026 Ling-3.1-flash 1673 GDPval-AA v2.1
7 Oct 2026 Claude Haiku 5.5 1620 Knowledge work GDPval-AA v2.1
28 Sep 2026 Claude Sonnet 5.5 1844 Knowledge work GDPval-AA v2.1
22 Sep 2026 MiMo-V2.6 Pro 1673 GDPval-AA 2.1
22 Sep 2026 Claude Opus 5.5 1846 Knowledge work GDPval-AA v2.1
20 Sep 2026 Step 5 Preview 1566 GDPval-AA v2.1 (Artificial Analysis, 2026-09-20)

4 system cards report it, from 2 labs

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.

DateDocumentScoreAs the document writes itSection
7 Oct 2026 Claude Haiku 5.5 system card 1620 GDPval-AA v2.1, Elo at max effort (medium 1277) (Table 8.1.A) Capabilities
28 Sep 2026 Claude Sonnet 5.5 system card 1844 GDPval-AA v2.1 Elo at max effort, run by Artificial Analysis (Table 8.1.A, 8.14.3) Capabilities
22 Sep 2026 MiMo-V2.6 Pro technical report 1673 GDPval-AA 2.1 (Table 3) Capabilities
22 Sep 2026 Claude Opus 5.5 system card 1846 GDPval-AA v2.1 Elo at max effort, run by Artificial Analysis (1820 at xhigh) (Table 8.1.A, 8.14.3) Capabilities

Versions

More in Economic work

All 91 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%
  • 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%
  • SpreadsheetBench In use Real spreadsheet manipulation questions from Excel forums. Output workbook is checked cell-by-cell against reference solutions. MiniMax-M3 89.3%