Performance vs price

Blended cost per 1M tokens (3:1 input:output, log scale) against the Intelligence Index. Hover or tab to a point for details.

On the value frontier

Dominated: a cheaper model matches or beats it

Value frontier

Best model for your budget

The frontier as a lookup table. Find the row your budget falls in; the pick is the highest-scoring model you can get at that price, and the runner-up is the next best that also fits.

Budget per 1M tokens	Pick	Score	Price	Runner-up

Raw capability

Ignoring cost entirely.

What changed

Diff between consecutive daily fetches: new models, removed models, and re-scored or re-priced ones.

All figures

Click a column header to sort. Names link to the model's Artificial Analysis page.

Model	Maker	Intelligence	Coding	Math	Blended $/1M	Input $/1M	Output $/1M	Tokens/s	TTFT s

How to read this

• Value frontier. Sort by price ascending and keep every model that scores higher than everything cheaper. Ties on price go to the higher score; ties on score go to the cheaper model.
• Blended price is Artificial Analysis's 3:1 input:output blend per 1M tokens. Cached-input discounts, batch pricing and fast modes are not included.
• "One row per model" keeps the highest-scoring effort or reasoning variant of each model name (ties go to the cheaper one). Untick it to see every variant AA benchmarks separately, such as low, medium, high, xhigh and max effort.
• "Min score" hides models below that index from both the chart and the frontier calculation, so an old, tiny model at a rock-bottom price does not anchor the line.
• Scores move. AA re-bases the Index between versions, so compare against this page only, not against an older snapshot.

Source: Artificial Analysis free data API, fetched daily by a GitHub Actions cron. Code and data: github.com/terryds/bestvaluemodel.