Qwen3.5-27B

Qwentext + image + video → textHugging Face OpenRouter

The cheapest provider for Qwen3.5-27B is Alibaba at $0.536 per 1M tokens (blended), charging $0.195 per 1M input and $1.56 per 1M output tokens. 6 providers serve it; the most expensive charges 1.58× as much. Context window: 256K tokens. Prices tracked since Oct 3, 2026.

Best price

$0.536

at Alibaba

Input / output

$0.195 / $1.56

per 1M tokens

Providers

1.58× spread

7 days

—

best price

30 days

—

best price

Context

256K

tokens

Providers

Active offers ranked by blended price. Bars are relative to the most expensive.

Provider prices for Qwen: Qwen3.5-27B, USD per 1M tokens
Provider	Input	Output	Blended	vs cheapest	Context	Uptime 1d	Price since
AlibabaCheapest	$0.195	$1.56	$0.536	best	256K	95.6%	Oct 3
SiliconFlow fp8	$0.25	$2.00	$0.688	+28%	256K	98.7%	Oct 3
AtlasCloud fp8	$0.27	$2.16	$0.743	+38%	256K	99.3%	Oct 3
Novita bf16	$0.30	$2.40	$0.825	+54%	256K	100%	Oct 3
Phala	$0.30	$2.40	$0.825	+54%	256K	99.0%	Oct 3
DeepInfra fp8	$0.26	$2.60	$0.845	+58%	256K	100%	Oct 3

AlibabaCheapest
$0.536
$0.195 in · $1.56 out
best
256K ctx95.6% uptime
SiliconFlow
$0.688
$0.25 in · $2.00 out
+28%
256K ctx98.7% uptimefp8
AtlasCloud
$0.743
$0.27 in · $2.16 out
+38%
256K ctx99.3% uptimefp8
Novita
$0.825
$0.30 in · $2.40 out
+54%
256K ctx100% uptimebf16
Phala
$0.825
$0.30 in · $2.40 out
+54%
256K ctx99.0% uptime
DeepInfra
$0.845
$0.26 in · $2.60 out
+58%
256K ctx100% uptimefp8

Blended = (3 × input + output) / 4.

Price history

Hover to compare providers at any point in time. Click a legend item to hide it.

USD per 1M tokens · each step is a price change

Not enough history yet

Tracking since Oct 3, 2026. The chart fills in as new crawls arrive every 6 hours.

Other pricing

Cache, reasoning and per-call fees. Token rates per 1M; others per unit.

Offered by	Cache read
AtlasCloud	$0.27
Phala	$0.03

Change log

Every recorded change for this model since Oct 3, 2026.

No changes yet

Tracking since Oct 3, 2026. Price changes, new providers and delistings will show up here.

About this model

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...

Released: Feb 25, 2026
First tracked: Oct 3, 2026
Canonical slug: qwen/qwen3.5-27b-20260224
Weights: Qwen/Qwen3.5-27B