Data as of 2026-09-20.
Price spread

GLM-5.1 Thinking

zai-org/glm-5.1-thinking

Z.ai (Zhipu)· 203K 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
NanoGPT
router / aggregator
$0.75$2.60$0.15$0.54

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