Data updated 2026-10-20.
Price spread

Mercury 3

inception/mercury-3

Inception· 1M ctx
API onlytool callreasoningstructured quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$0.350 – $0.350 · 2 providers · max÷min 1.0×

2 providers priced · 2 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.

ProviderInputOutputCache rdBlended
Inceptionfirst-party
first-party lab
$0.100$0.350$0.0100$0.0655
NanoGPT
router / aggregator
$0.100$0.350$0.0100$0.0655
OpenRouter
router / aggregator
$0.100$0.350$0.0100$0.0655
Venice AI
inference host
$0.100$0.350$0.0100$0.0655
Vercel AI Gateway
router / aggregator
$0.100$0.350$0.0100$0.0655
Kilo Gateway
router / aggregator
$0.200$0.700$0.0200$0.131

Data: models.dev (MIT), snapshot 2026-10-20. Prices are vendor-published; verify before purchase. Methodology.