qwen3.8-27b

AlibabaAdded Aug 28, 2026
Model idqwen/qwen3.8-27b

Qwen's 27B vision-language model: reads images and documents alongside text, with a 1M-token context. Built to carry multi-step agent tasks through to completion, with thinking on by default and effort set per request.

Cost /1M tokens
$0.50input
$0.15cached
$3.20output
Context
977Ktokens
Live speed
93 tok/s · 0.54s to first token
Speed

Throughput users got on qwen3.8-27b with Keln API in the last 24 hours.

100200300400 tok/s24h ago18h ago12h ago6h agonow
Latency

Time to first token users got on qwen3.8-27b with Keln API in the last 24 hours.

1.0 s2.0 s3.0 s4.0 s24h ago18h ago12h ago6h agonow

Capabilities

Input
Text and images
Tool calling
Yes
JSON output
Yes
Reasoning
Yes
Web search
With opt-in
Data retention
Zero

Use the API

Create an API key, save it to KELN_API_KEY, then call the endpoint below.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.keln.ai/v1/",
    api_key=os.environ.get("KELN_API_KEY"),
)

resp = client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

Use with your tools

Set up guides on docs.keln.ai ↗

Ready to build on Keln?

Run qwen3.8-27b in the playground, or create a key and call it from your code.