Data as of 2026-09-20.
Price spread

Qwen3.5 Flash

qwen/qwen3.5-flash

Qwen (Alibaba)· 1M ctx
API onlytool callreasoningstructured quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$1.03 – $1.03 · 1 providers · max÷min 1.0×

1 provider priced · 1 offering · 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
OpenRouter
router / aggregator
$0.0650$0.260—$0.0827no cache price published
Merge Gateway
router / aggregator
$0.0290$0.287$0.00580$0.0377
EmpirioLabs AI
unclassified
$0.0900$0.368$0.0900$0.115
Ofox
reseller
$0.100$0.400$0.0100$0.0802
OrcaRouter
router / aggregator
$0.100$0.400—$0.127no cache price published
Vercel AI Gateway
router / aggregator
$0.100$0.400$0.0100$0.0802
ZenMux
router / aggregator
$0.100$0.400—$0.127no cache price published
NanoGPT
router / aggregator
$0.100$0.400$0.0500$0.0955
Alibaba (China)CNfirst-partytiered
first-party lab
$0.17$1.03—$0.25no 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.

  • NanoGPT qwen3.5-flashpay per token

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