Agentic & Tool Use benchmark

# GDPval leaderboard

> GDPval results for 11 AI models, led by GPT-5.2 at 49.7%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/gdpval
- Last updated: 2026-10-10
- Title: GDPval Leaderboard (October 2026): Scores by Model

As of October 2026, GPT-5.2 has the highest published GDPval score on Noometry at 49.7%, out of 11 models with results.

Last verified October 10, 2026

## About GDPval

Real work products from 44 occupations, graded by industry experts against the work of human professionals. Scores are win-or-tie rates.

- **Category:** [Agentic & Tool Use](https://noometry.com/best/agentic)
- **Introduced:** 2025
- **Format:** Expert-graded deliverables
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [openai.com](https://openai.com/index/gdpval/)

## Top 11 models

Top models on GDPval

1.  GPT-5.2 49.7%
2.  Claude Opus 4.5 45.5%
3.  Claude Opus 4.1 43.6%
4.  Claude Sonnet 4.5 42.5%
5.  Gemini 3 Pro 40.3%
6.  GPT-5 34.8%
7.  o3 30.8%
8.  o4-mini 25.3%
9.  Gemini 2.5 Pro 23.3%
10.  Grok 4 21.1%
11.  GPT-4o 9.9%
12.  0204060

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## All results

GDPval results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 49.7% | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 45.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 43.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 42.5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 40.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 34.8% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [o3](https://noometry.com/models/o3) | [OpenAI](https://noometry.com/providers/openai) | 30.8% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [o4-mini](https://noometry.com/models/o4-mini) | [OpenAI](https://noometry.com/providers/openai) | 25.3% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 23.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [Grok 4](https://noometry.com/models/grok-4) | [xAI](https://noometry.com/providers/xai) | 21.1% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 9.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

-   [GPT-5.2 vs Claude Opus 4.5](https://noometry.com/compare/claude-opus-4-5-vs-gpt-5-2)
-   [GPT-5.2 vs Claude Opus 4.1](https://noometry.com/compare/claude-opus-4-1-vs-gpt-5-2)
-   [GPT-5.2 vs Claude Sonnet 4.5](https://noometry.com/compare/claude-sonnet-4-5-vs-gpt-5-2)
-   [GPT-5.2 vs Gemini 3 Pro](https://noometry.com/compare/gemini-3-pro-vs-gpt-5-2)
-   [Claude Opus 4.5 vs Claude Opus 4.1](https://noometry.com/compare/claude-opus-4-1-vs-claude-opus-4-5)
-   [Claude Opus 4.5 vs Claude Sonnet 4.5](https://noometry.com/compare/claude-opus-4-5-vs-claude-sonnet-4-5)

## Other agentic & tool use benchmarks

-   [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench)
-   [APEX-Agents](https://noometry.com/benchmarks/apex-agents)
-   [Berkeley Function Calling Leaderboard](https://noometry.com/benchmarks/bfcl)
-   [OSWorld 2.0](https://noometry.com/benchmarks/osworld-2)
-   [Remote Labor Index](https://noometry.com/benchmarks/remote-labor-index)
-   [TheAgentCompany](https://noometry.com/benchmarks/the-agent-company)
-   [τ²-bench Airline](https://noometry.com/benchmarks/tau2-airline)
-   [τ²-bench Banking](https://noometry.com/benchmarks/tau2-banking)
-   [τ²-bench Retail](https://noometry.com/benchmarks/tau2-retail)
-   [τ²-bench Telecom](https://noometry.com/benchmarks/tau2-telecom)
-   [Cybench](https://noometry.com/benchmarks/cybench)
-   [DeepResearch Bench](https://noometry.com/benchmarks/deepresearch-bench)

## Frequently asked questions

### What does GDPval measure?

Real work products from 44 occupations, graded by industry experts against the work of human professionals. Scores are win-or-tie rates.

### Which model has the highest GDPval score?

As of October 2026, GPT-5.2 has the highest published GDPval score on Noometry at 49.7%, out of 11 models with results.

### Cite this page

Noometry. (2026). GDPval leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/gdpval

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/gdpval.md).