qwen3.8-27b
Model id
qwen/qwen3.8-27bQwen'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.
Latency
Time to first token users got on qwen3.8-27b with Keln API in the last 24 hours.
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 ↗