alibabaCertifiedReleased 08/14/2026

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.

View API reference ↓
Input / output priceFrom$0.060 / $0.32per 1M
24h uptime99.99%
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.inferencebureau.com/v1",
  apiKey: process.env.IB_API_KEY,
});

const res = await client.chat.completions.create({
  model: "alibaba/qwen3.8-27b",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});

console.log(res.choices[0].message.content);

Providers

Dispatch routes requests across these providers and fails over between them without changing the model. Restrict or order providers with team Directives. Prices are gateway list prices before the platform fee.

ProviderContextMax outputLatencyThroughputInputOutputCacheCapabilitiesZDRNo trainingRegionsStatus
alibaba1M131K1.0 s23 tps$0.50$3.00Read $0.100Write $0.638 featuresYesYesGlobalCertified
Cerebras131K41K0.3 s1670 tps$0.99$1.49Read $0.99Write —6 featuresNoYesGlobalCertified
DeepInfra262K262K0.3 s41 tps$0.15$1.88Read $0.038Write —6 featuresNoYesGlobalCertified
novita1M131K1.1 s22 tps$0.42$3.00Read $0.085Write —6 featuresNoNoGlobalCertified
parasail262K262K0.5 s88 tps$0.24$2.20Read $0.050Write —8 featuresYesYesGlobalCertified
runinfra262K262K3.4 s139 tps$0.080$0.32Read $0.0080Write —6 featuresNoNoGlobalCertified
wafer262K262K1.2 s153 tps$0.060$2.30Read $0.059Write —7 featuresYesYesGlobalCertified

Uptime

24 hours

Request success rate per provider.

alibaba100.00%
Cerebras99.98%
DeepInfra99.98%
novita100.00%
parasail100.00%
runinfra99.98%
wafer99.99%

Throughput

last hour

P50 output tokens per second.

Cerebras1670 tps
wafer153 tps
runinfra139 tps
parasail88 tps
DeepInfra41 tps
alibaba23 tps
novita22 tps

Latency

last hour

P50 time to first token.

DeepInfra0.3 s
Cerebras0.3 s
parasail0.5 s
alibaba1.0 s
novita1.1 s
wafer1.2 s
runinfra3.4 s

Getting started

Create a key on the API Keys page and set it as IB_API_KEY. See the quickstart.

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.inferencebureau.com/v1",
  apiKey: process.env.IB_API_KEY,
});

const res = await client.chat.completions.create({
  model: "alibaba/qwen3.8-27b",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});

console.log(res.choices[0].message.content);

Top-level parameters

Standard Chat Completions parameters work as documented. These have model-specific behavior.

ParameterTypeRequiredDescription
modelstringYesModel ID in the form creator/model, e.g. alibaba/qwen3.8-27b. Must be allowed by your team's Directives.
max_tokensnumberNoHard cap on generated tokens, and the basis for the balance reserved per request. Qwen3.8 27B supports up to 262,144 output tokens.
reasoning{ effort: 'low' | 'medium' | 'high' }NoReasoning effort, mapped to the provider's native configuration. Reasoning tokens count toward output usage.
toolsTool[]NoFunction definitions the model can call. Tool calls are returned in choices[].message.tool_calls.
Supportedmax_tokenstemperaturestoptoolstool_choicereasoninginclude_reasoningresponse_formatstructured_outputs

Input limits

InputSourcesLimits
Text—Prompt and response share the 262K-token context window
ImageURL, base64Sent as image_url content parts; counts as input tokens
PDFURL, base64Sent as file content parts; counts as input tokens

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