Data as of 2026-09-20.
Price spread

Gemma 3 12B IT

google/gemma-3-12b-it

Google· 131K ctx· gemma
open weights quant: unknown

spread (output, p90 ÷ p10)

1.0×

$0.100 – $0.290 · 4 providers · max÷min 2.9×

4 providers priced · 4 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
Helicone
router / aggregator
$0.0500$0.100—$0.0545no cache price published
NovitaAI
inference host
$0.0500$0.100—$0.0545no cache price published
Hugging Face
inference host
$0.0500$0.150—$0.0591no cache price published
Kilo Gateway
router / aggregator
$0.0500$0.150—$0.0591no cache price published
OpenRouter
router / aggregator
$0.0500$0.150—$0.0591no cache price published
Deep Infra
inference host
$0.0500$0.150—$0.0591no cache price published
Eden AI
router / aggregator
$0.0500$0.150—$0.0591no cache price published
NanoGPT
router / aggregator
$0.272$0.272$0.136$0.185
Merge Gateway
router / aggregator
$0.0900$0.290—$0.108no cache price published
Amazon Bedrock
hyperscaler
$0.0900$0.290—$0.108no cache price published
Free tiers (rate-limited) · 1

No payment required; rate limits and quotas apply (not tracked yet). Excluded from cheapest, median and spread.

  • Nvidia google/gemma-3-12b-itNVIDIA developer account + API keyfree tier

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