Data as of 2026-09-20.
Price spread

DeepSeek R1 0528

deepseek-ai/deepseek-r1-0528

DeepSeek· 164K ctx· mit
open weightstool callreasoning quant: unknown

spread (output, p90 ÷ p10)

1.1×

$2.15 – $5.00 · 4 providers · max÷min 2.3×

4 providers priced · 5 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
NanoGPT
router / aggregator
$0.40$1.70$0.20$0.39
submodel
unclassified
$0.50$2.15—$0.65no cache price published
Meganova
unclassified
$0.50$2.15—$0.65no cache price published
OpenRouter
router / aggregator
$0.50$2.15$0.35$0.55
Deep Infra
inference host
$0.50$2.15$0.35$0.55
Alibaba (China)CN
first-party lab
$0.50$2.18—$0.65no cache price published
Kilo Gateway
router / aggregator
$0.70$2.50$0.35$0.64
Jiekou.AI
reseller
$0.70$2.50—$0.86no cache price published
NovitaAI
inference host
$0.70$2.50$0.35$0.64
Cortecs
router / aggregator
$0.65$2.57$0.16$0.52
TensorX
unclassified
$0.66$2.60$0.17$0.59
Hugging Face
inference host
$3.00$5.00—$3.18no cache price published

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