Data updated 2026-10-26.
Price spread

Kolibri 1

aleph-alpha/kolibri-1

aleph-alpha· 2026-10-03· 1.0M ctx
open weightstool callreasoningstructured quant: unknown
0 providers priced · 0 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.

No published pricing for this dimension.

ProviderInputOutputCache rdBlended
Munito AI
unclassified
$0.130$0.510$0.0780$0.131
Munito AI (EU)
unclassified
$0.160$0.560$0.0940$0.154
NanoGPT
router / aggregator
$0.168$0.588$0.0987$0.162
Cortecs
router / aggregator
$0.167$0.613$0.0840$0.155

Data: models.dev (MIT), snapshot 2026-10-26. Prices are vendor-published; verify before purchase. Methodology.