ai benchmarks

Each line is one model, climbing from its lowest to its highest reasoning effort: up scores higher, right costs more per task.

1. Pick models in the Models list.
2. Hover or tap a dot for its effort, score and cost.
3. Cost runs on a log scale: each equal step right is the same multiple of price.

Every model ranked by the best score it reaches within your budget, with what that setting costs per task.

1. Drag the budget to the most you’ll pay per task.
2. Dots run low → max effort; rings are over budget.
3. Tap the dot by a name to add it to Curves.

The cheapest way to reach each score. Each white step is a setting nothing cheaper matches; grey dots are beaten for less.

1. Find your score on the left; read across to the line.
2. The table shows what each next step up costs.
3. Pick models to see what beats their settings.

How fast reaching a score is getting cheaper: each line is the lowest cost per task to reach it with what was out by each date.

1. Lower is cheaper; each drop is a cheaper release.
2. The right-hand label is today’s cheapest price.
3. Intelligence, Coding or Agentic changes the score.

Every change Artificial Analysis made to the data, newest first.

1. Click a model to see its past scores.