Data as of 2026-09-20.
Price spread

Llama-3.2-11B-Vision-Instruct

meta-llama/llama-3.2-11b-vision-instruct

Meta· 4K ctx· llama3.2
open weights quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$0.0550 – $0.676 · 2 providers · max÷min 12×

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
Inference
inference host
$0.0550$0.0550—$0.0550no cache price published
Eden AI
router / aggregator
$0.345$0.345—$0.345no cache price published
Cloudflare Workers AI
inference host
$0.0485$0.676—$0.106no 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 meta/llama-3.2-11b-vision-instructNVIDIA developer account + API keyfree tier

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