Agentic & Tool Use benchmark

# Remote Labor Index leaderboard

> Remote Labor Index results for 14 AI models, led by GPT-6 Astra at 20.8%. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/remote-labor-index
- Last updated: 2026-10-11
- Title: Remote Labor Index Leaderboard (October 2026): Scores by Model

As of October 2026, GPT-6 Astra has the highest published Remote Labor Index score on Noometry at 20.8%, out of 14 models with results.

Last verified October 11, 2026

## About Remote Labor Index

Real paid freelance projects; the score is the share of projects completed at a level a client would accept.

- **Category:** [Agentic & Tool Use](https://noometry.com/best/agentic)
- **Introduced:** 2025
- **Format:** Freelance projects
- **Unit:** Percent (random guessing ≈ 0%)
- **Official site:** [www.remotelabor.ai](https://www.remotelabor.ai)

## Top 14 models

Top models on Remote Labor Index

1.  GPT-6 Astra 20.8%
2.  Claude Fable 5.1 17.9%
3.  Claude Fable 5 16.1%
4.  Claude Opus 4.8 8.3%
5.  GPT-5.5 6.3%
6.  Gemini 3.8 Flash 5.8%
7.  Gemini 3.7 Flash 5%
8.  Claude Opus 4.6 4.2%
9.  Claude Opus 4.5 3.8%
10.  GPT-5.2 2.5%
11.  Claude Sonnet 4.5 2.1%
12.  GPT-5 1.7%
13.  Gemini 3 Pro 1.3%
14.  Gemini 2.5 Pro 0.8%
15.  0102030

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

## All results

Remote Labor Index results by model
| # | Model | Provider | Score | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 20.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 2 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 17.9% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 3 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 16.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 4 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 8.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 5 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 6.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 6 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 5.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 7 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 5% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 8 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 4.2% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 9 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 3.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 10 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 2.5% | medium | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 11 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 2.1% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 12 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 1.7% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 13 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1.3% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| 14 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 0.8% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

## Compare the leaders

-   [GPT-6 Astra vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gpt-6-astra)
-   [GPT-6 Astra vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-gpt-6-astra)
-   [GPT-6 Astra vs Claude Opus 4.8](https://noometry.com/compare/claude-opus-4-8-vs-gpt-6-astra)
-   [GPT-6 Astra vs GPT-5.5](https://noometry.com/compare/gpt-5-5-vs-gpt-6-astra)
-   [Claude Fable 5.1 vs Claude Fable 5](https://noometry.com/compare/claude-fable-5-vs-claude-fable-5-1)
-   [Claude Fable 5.1 vs Claude Opus 4.8](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-4-8)

## 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)
-   [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 Remote Labor Index measure?

Real paid freelance projects; the score is the share of projects completed at a level a client would accept.

### Which model has the highest Remote Labor Index score?

As of October 2026, GPT-6 Astra has the highest published Remote Labor Index score on Noometry at 20.8%, out of 14 models with results.

### Cite this page

Noometry. (2026). Remote Labor Index leaderboard. Retrieved October 11, 2026, from https://noometry.com/benchmarks/remote-labor-index

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