Agentic & Tool Use benchmark

# TheAgentCompany leaderboard

> TheAgentCompany results for 14 AI models, led by DeepSeek-V3.2-Exp at 42.9%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/the-agent-company
- Last updated: 2026-10-10
- Title: TheAgentCompany Leaderboard (October 2026): Scores by Model

As of October 2026, DeepSeek-V3.2-Exp has the highest published TheAgentCompany score on Noometry at 42.9%, out of 14 models with results.

Last verified October 10, 2026

## About TheAgentCompany

Workplace tasks in a simulated software company with browsers, code, chat and documents.

- **Category:** [Agentic & Tool Use](https://noometry.com/best/agentic)
- **Introduced:** 2024
- **Size:** 175 tasks
- **Format:** Agent in a sandbox
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [the-agent-company.com](https://the-agent-company.com)

## Top 14 models

Top models on TheAgentCompany

1.  DeepSeek-V3.2-Exp 42.9%
2.  Gemini 2.5 Flash 41.1%
3.  Claude Sonnet 4 33.1%
4.  Claude 3.7 Sonnet 30.9%
5.  Gemini 2.5 Pro 30.3%
6.  Claude 3.5 Sonnet 24%
7.  Gemini 2.0 Flash (Feb 2025) 11.4%
8.  GPT-4o 8.6%
9.  Llama 3.1-405B 7.4%
10.  Llama 3.1-70B 6.9%
11.  Qwen2.5 72B Instruct 5.7%
12.  Gemini 1.5 Pro (May 2024) 3.4%
13.  Amazon Nova Pro 1.7%
14.  Qwen2-72B 1.1%
15.  0204060

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

## All results

TheAgentCompany results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 42.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Gemini 2.5 Flash](https://noometry.com/models/gemini-2-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 41.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [Claude Sonnet 4](https://noometry.com/models/claude-sonnet-4) | [Anthropic](https://noometry.com/providers/anthropic) | 33.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [Claude 3.7 Sonnet](https://noometry.com/models/claude-3-7-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 30.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 30.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [Claude 3.5 Sonnet](https://noometry.com/models/claude-3-5-sonnet) | [Anthropic](https://noometry.com/providers/anthropic) | 24% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [Gemini 2.0 Flash (Feb 2025)](https://noometry.com/models/gemini-2-0-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 11.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [GPT-4o](https://noometry.com/models/gpt-4o) | [OpenAI](https://noometry.com/providers/openai) | 8.6% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [Llama 3.1-405B](https://noometry.com/models/llama-3-1-405b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 7.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [Llama 3.1-70B](https://noometry.com/models/llama-3-1-70b) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 6.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [Qwen2.5 72B Instruct](https://noometry.com/models/qwen2-5-72b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 5.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 12 | [Gemini 1.5 Pro (May 2024)](https://noometry.com/models/gemini-1-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 3.4% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 13 | [Amazon Nova Pro](https://noometry.com/models/amazon-nova-pro) | [Amazon](https://noometry.com/providers/amazon) | 1.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 14 | [Qwen2-72B](https://noometry.com/models/qwen2-72b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

-   [DeepSeek-V3.2-Exp vs Gemini 2.5 Flash](https://noometry.com/compare/deepseek-v3-2-exp-vs-gemini-2-5-flash)
-   [DeepSeek-V3.2-Exp vs Claude Sonnet 4](https://noometry.com/compare/claude-sonnet-4-vs-deepseek-v3-2-exp)
-   [DeepSeek-V3.2-Exp vs Claude 3.7 Sonnet](https://noometry.com/compare/claude-3-7-sonnet-vs-deepseek-v3-2-exp)
-   [DeepSeek-V3.2-Exp vs Gemini 2.5 Pro](https://noometry.com/compare/deepseek-v3-2-exp-vs-gemini-2-5-pro)
-   [Gemini 2.5 Flash vs Claude Sonnet 4](https://noometry.com/compare/claude-sonnet-4-vs-gemini-2-5-flash)
-   [Gemini 2.5 Flash vs Claude 3.7 Sonnet](https://noometry.com/compare/claude-3-7-sonnet-vs-gemini-2-5-flash)

## 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)
-   [GDPval](https://noometry.com/benchmarks/gdpval)
-   [Remote Labor Index](https://noometry.com/benchmarks/remote-labor-index)
-   [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 TheAgentCompany measure?

Workplace tasks in a simulated software company with browsers, code, chat and documents.

### Which model has the highest TheAgentCompany score?

As of October 2026, DeepSeek-V3.2-Exp has the highest published TheAgentCompany score on Noometry at 42.9%, out of 14 models with results.

### What is the best open-weight model on TheAgentCompany?

DeepSeek-V3.2-Exp has the highest TheAgentCompany accuracy among open-weight models at 42.9%, ranking 1 of 14 overall.

### Cite this page

Noometry. (2026). TheAgentCompany leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/the-agent-company

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