Data as of 2026-09-20.
Price spread

GLM-4.6V

zai-org/glm-4.6v

Z.ai (Zhipu)· 131K ctx
open weightstool callreasoningstructured quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$0.900 – $0.900 · 2 providers · max÷min 1.0×

2 providers priced · 3 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
302.AI
reseller
$0.145$0.430—$0.171no cache price published
ZenMuxtiered
router / aggregator
$0.146$0.437$0.0291$0.0979
Kilo Gateway
router / aggregator
$0.300$0.900$0.0550$0.199
LLM Gateway
router / aggregator
$0.300$0.900$0.0550$0.199
NanoGPT
router / aggregator
$0.300$0.900$0.150$0.259
NovitaAI
inference host
$0.300$0.900$0.0550$0.199
OpenRouter
router / aggregator
$0.300$0.900$0.0550$0.199
Z.AIfirst-party
first-party lab
$0.300$0.900—$0.355no cache price published
Eden AI
router / aggregator
$0.300$0.900$0.0500$0.195
Subscription plans (flat fee, not per-token) · 2

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) glm-4.6vsubscription plan
  • Zhipu AI Coding Plan glm-4.6vsubscription plan

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