Data as of 2026-09-20.
Price spread

Mistral Small 4

mistralai/mistral-small-2603

Mistral AI· 262K ctx
open weightstool callreasoningstructured quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$0.600 – $0.930 · 2 providers · max÷min 1.6×

2 providers priced · 2 offerings · 1 omitted (stale)

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
Kilo Gateway
router / aggregator
$0.150$0.600$0.0150$0.105
Mistralfirst-party
first-party lab
$0.150$0.600—$0.191no cache price published
OpenRouter
router / aggregator
$0.150$0.600$0.0150$0.105
Opper
router / aggregator
$0.150$0.600—$0.191no cache price published
Pioneer
unclassified
$0.150$0.600$0.0150$0.117
Eden AI
router / aggregator
$0.150$0.600$0.0150$0.105
EmpirioLabs AI
unclassified
$0.150$0.600$0.150$0.191
AKI.IO
unclassified
$0.200$0.600—$0.236no cache price published
Cortecs
router / aggregator
$0.156$0.625$0.0160$0.110
Requesty
router / aggregator
$0.165$0.660$0.165$0.210
Infomaniak
inference host
$0.250$0.930—$0.312no cache price published
Stale offerings (not in the spread) · 1

Last priced more than 3 days before the latest snapshot — shown for reference, never mixed into cheapest, median or spread.

  • Venice AI mistral-small-2603pay per token

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