Models
alibaba
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Qwen3.8 27B

Built on the architectural foundation of Qwen3.5, Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks. Qwen3.8-27B brings these advances to a compact, deployment-friendly dense model: a native vision-language model that understands images and videos, with flexible thinking control, designed to carry complex, multi-step tasks through to completion with greater reliability.

reasoningtool usevisionimplicit cachingvideo inputfile inputexplicit cachingstructured outputtextimagepdfvideo

Overview

Type
language
Context
1M
Max output
131K
Input / output
text, image, pdf, video / text

API

Model identifier

alibaba/qwen3.8-27b

Providers and live performance

Rolling Gateway metrics. Latency is time to first token; throughput is output tokens per second.

P50 / P95 over the last hour
ProviderStatusLatencyThroughputUptime 15m / 1h / 1dInputOutputCache read / writeDiscountRegionsZDRNo training
alibabaOperational2.67s / 7.92s63.5 / 69.7 tok/s100.00% / 100.00% / 99.99%$0.50/M$3.00/M$0.10/M / $0.63/M——YesYes
cerebrasOperational0.52s / 3.61s1077.0 / 1195.8 tok/s100.00% / 100.00% / 99.96%$0.99/M$1.49/M$0.99/M / ———NoYes
deepinfraOperational0.64s / 1.42s57.0 / 64.0 tok/s100.00% / 100.00% / 99.86%$0.15/M$1.88/M$0.04/M / ———YesYes
novitaOperational2.28s / 6.62s54.5 / 64.8 tok/s100.00% / 100.00% / 99.91%$0.42/M$3.00/M$0.08/M / ————No
parasailOperational0.69s / 1.27s80.0 / 119.6 tok/s100.00% / 100.00% / 100.00%$0.24/M$2.20/M$0.05/M / ———YesYes
runinfraOperational1.04s / 3.18s185.0 / 208.9 tok/s100.00% / 100.00% / 100.00%$0.10/M$0.40/M$0.01/M / ———NoNo
waferOperational0.57s / 1.17s117.0 / 117.0 tok/s100.00% / 100.00% / 100.00%$0.20/M$6.00/M$0.20/M / ———YesYes

Pricing

input
0.0000005
output
0.000003
input cache read
0.0000001
input cache write
0.000000625
varies by provider
Yes

Capabilities

reasoningtool usevisionimplicit cachingvideo inputfile inputexplicit cachingstructured outputtextimagepdfvideo

Supported parameters

max tokens
Yes
temperature
Yes
stop
Yes
tools
Yes
tool choice
Yes
reasoning
Yes
include reasoning
Yes
response format
Yes
structured outputs
Yes

Reasoning options

options
{ "type": "effort", "values": [ "none", "low", "medium", "xhigh" ] }

Metadata

type
language
context window
1M
max output
131K
released
Aug 14, 2026
temperature control
Yes
zero data retention
some
no training
some
api specifications
v2, v3, v4
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