Data as of 2026-09-20.
Price spread

Gemma 3 27B IT

google/gemma-3-27b-it

Google· 98K ctx· gemma
open weights quant: unknown

spread (output, p90 ÷ p10)

4.3×

$0.160 – $0.760 · 8 providers · max÷min 4.8×

8 providers priced · 8 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
Eden AI
router / aggregator
$0.0800$0.160—$0.0873no cache price published
Kilo Gateway
router / aggregator
$0.0800$0.160—$0.0873no cache price published
Deep Infra
inference host
$0.0800$0.160—$0.0873no cache price published
Hugging Face
inference host
$0.0800$0.160—$0.0873no cache price published
NovitaAI
inference host
$0.119$0.200—$0.126no cache price published
Venice AI
inference host
$0.120$0.200—$0.127no cache price published
Cortecs
router / aggregator
$0.0990$0.299—$0.117no cache price published
NanoGPT
router / aggregator
$0.299$0.299$0.150$0.204
Nebius Token Factory
inference host
$0.100$0.300$0.0100$0.0711
Amazon Bedrock
hyperscaler
$0.230$0.380—$0.244no cache price published
OpenRouter
router / aggregator
$0.0800$0.450$0.0400$0.0882
Merge Gateway
router / aggregator
$0.0800$0.450$0.0400$0.0882
GreenPT
inference host
$0.342$0.684—$0.373no cache price published
STACKIT
inference host
$0.530$0.760—$0.551no cache price published

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