Data as of 2026-09-20.
Price spread

Mistral Small 3.2

mistralai/mistral-small-2506

Mistral AI· 128K ctx
open weightstool call quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$0.300 – $0.456 · 2 providers · max÷min 1.5×

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
LLM Gateway
router / aggregator
$0.100$0.300—$0.118no cache price published
Mistralfirst-party
first-party lab
$0.100$0.300—$0.118no cache price published
GreenPT
inference host
$0.228$0.456—$0.249no cache price published
Subscription plans (flat fee, not per-token) · 1

Flat-fee plan — the per-token price is bundled into a subscription, so $0/token is not free. Excluded from cheapest, median and spread.

  • DevPass (LLM Gateway) mistral-small-2506subscription plan

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