How is "tasks per hour" calculated?

Tasks per hour worked equals the average gross hourly wage for a country divided by the published benchmark cost per task. Wages come from ILOSTAT/OECD, and benchmark costs come from sources such as DeepSWE v1.1.

What benchmarks are included?

The tool uses DeepSWE v1.1, CursorBench 3.2, and FrontierCode 1.1 benchmark costs per task. You can toggle among these benchmarks in the interface.

Which countries are available by default?

Default countries are USA, Switzerland, Germany, Brazil, India, China, Japan, Canada, UK, and Sweden. You can add more countries using the '+ Add country' control.

Which AI models can I compare?

The page lists 16 model configurations, including Opus 5 Max, Sol Max, Fable 5 Max, Terra Max, Kimi K3 Max, Luna Max, GPT-5.5 Xhigh, Opus 4.8 Max, Sonnet 5 Max, Grok 4.5 High, Muse Spark, Gemini 3.6 High, GLM-5.2 Max, Kimi K2.7 Code, Sonnet 4.6 High, and Gemini 3.1 Pro.

When was the data updated?

The site states it was updated July 25, 2026. Wage data is sourced from ILOSTAT/OECD, and the DeepSWE v1.1 source is linked.

Can I share a comparison?

Yes, the page has a 'Share to X' button that lets you share the current comparison on X.

Wage Against the Machine — Compare AI task purchasing power by country and model

Wage Against the Machine is an interactive tool that compares AI task purchasing power across countries and models. It answers the question: for one hour of work, how many AI tasks can that income buy? The site pairs average gross hourly wages from ILOSTAT/OECD with published benchmark costs per task and converts them into tasks per hour worked for a range of leading AI models.

The comparison is organized around 10 countries (USA, Switzerland, Germany, Brazil, India, China, Japan, Canada, UK, Sweden) and 16 model configurations, including Opus 5 Max, Sol Max, GPT-5.5 Xhigh, and Gemini 3.6 High. Users can add countries and models to explore more combinations and view results as both a chart and a numeric table.

It is built for developers, AI buyers, researchers, and global employers who want a concrete, data-backed view of how far an hour of wages goes when buying AI benchmark tasks. The data is sourced from DeepSWE v1.1, CursorBench 3.2, FrontierCode 1.1, and ILOSTAT/OECD, and was updated July 25, 2026.

Wage Against the Machine

Key Features

Country wage comparison

Model configurations

Benchmark cost inputs

Transparent formula

Interactive chart and table

Add countries and models

Shareable comparisons

Use Cases

FAQ

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