Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Alibaba’s open-weight (Apache-2.0) dense 27B vision-language model from the Qwen 3.8 line. 1M context, text, image and video input, reasoning, tool calling and structured outputs — the open checkpoint next to the closed Qwen 3.8 Max and Flash.
qwen3.8-27b — Alibaba’s open-weight (Apache-2.0) dense 27B vision-language model from the Qwen 3.8 line. 1M context, text, image and video input, reasoning, tool calling and structured outputs — the open checkpoint next to the closed Qwen 3.8 Max and Flash.
| Field | Value |
|---|---|
| Model ID | qwen3.8-27b |
| Best for | Open-weight multimodal reasoning at 1M context |
| Context window | 1M |
| Max output tokens | 131K |
| Input modalities | Text, Image, Video |
| Output modalities | Text |
| Tool calling | Yes |
| Structured outputs | Yes |
| Prompt caching | No |
| Speed | Medium |
| Cost band | Premium |
| Release stage | Stable |
| Per 1M tokens | |
|---|---|
| Input | $0.567 |
| Output | $4.05 |
from openai import OpenAI
client = OpenAI(base_url="https://kymaapi.com/v1", api_key="kyma-...")
response = client.chat.completions.create(
model="qwen3.8-27b",
messages=[{"role": "user", "content": "..."}],
tools=[...], # function calling supported
)
curl "https://kymaapi.com/v1/models?recommended_for=chat&tools=true&quality_tier=strong"