Data as of 2026-09-20.
Price spread

Mercury Coder Small

inception/mercury-coder-small

Inception· 32K ctx
API onlytool call quant: unknown
0 providers priced · 0 offerings

Cheapest / median / spread use providers that serve the model on their own capacity: first-party lab, hyperscaler, inference host.

Provider classes in the stats:
Blended $/M assumptions

blended = 90.9% input × [(1 − 70% cache) × input + 70% cache × cache-read] + 9.1% × output + cache writes (30% of uncached input) where a write price is published

A provider that publishes no cache price is blended with cache share 0 (all input at the input price) and labelled “no cache price published” — never penalised against identical in/out prices.

No published pricing for this dimension.

ProviderInputOutputCache rdBlended
NanoGPT
router / aggregator
$0.25$1.00$0.13$0.24
Vercel AI Gateway
router / aggregator
$0.25$1.00—$0.32no cache price published

Data: models.dev (MIT), snapshot 2026-09-20. Prices are vendor-published; verify before purchase. Methodology.