AI Rate CardQwen3.8 27B · orcarouter
Qwen3.8-27B is Alibaba's open-weight 27B dense multimodal model, released under Apache-2.0 and self-hosted on OrcaRouter's own infrastructure. It accepts text, images, and video and returns text, with a 256K-token context window (262,144 positions) built on the Qwen3.5 architecture - 64 layers, 5120 hidden size, with a dedicated vision tower. Despite its 27B size it posts unusually strong agentic and coding results on Qwen's own model card, including 90.3 on LiveCodeBench v6, 89.2 on GPQA Diamond, 84.3 on OSWorld-Verified, and 79.0 on QwenSWEBench - competitive with far larger closed models on several axes. It supports native tool calling, structured outputs, reasoning mode, and the full sampling surface. Because the weights are open and we run them ourselves, there is no per-token vendor cost to pass through. That makes Qwen3.8-27B a strong default for high-volume multimodal work: document and screenshot understanding, video frames, coding agents, and computer-use style automation.
Input, $/1M $0.33
Output, $/1M $2.40
Context 262 144
Max output 32 768
Accepts image/bmp, image/heic, image/jpeg, image/png, image/tiff, image/webp, text, video/mp4, video/quicktime, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideo
Last checked 04.11.2026 12:26:37 UTC
Source provider's page
Price alerts
API
OpenAI-compatible API: the official OpenAI SDKs work with this base URL. Replace YOUR_API_KEY with your key from the provider.
| API base URL | |
|---|---|
| Endpoint | |
| Model id | |
curl
curl https://api.orcarouter.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen/qwen3.8-27b", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'Python
import requests
r = requests.post(
"https://api.orcarouter.ai/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model": "qwen/qwen3.8-27b",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
},
)
print(r.json())JavaScript
const r = await fetch("https://api.orcarouter.ai/v1/chat/completions", {
method: "POST",
headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
body: JSON.stringify({
"model": "qwen/qwen3.8-27b",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}),
});
console.log(await r.json());Request (JSON)
{
"model": "qwen/qwen3.8-27b",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}Response (JSON)
{
"id": "chatcmpl-...",
"object": "chat.completion",
"model": "qwen/qwen3.8-27b",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hi! How can I help?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}The address is taken from the provider's model list; check it against the provider's documentation.
Source: AI Rate Card, https://airatecard.com/en/c/offer%3Aorcarouter%7Cqwen/qwen3.8-27b, prices checked 2026-11-04; seller's page: https://orcarouter.ai/models/qwen/qwen3.8-27b
Technical details
ID: offer:orcarouter|qwen/qwen3.8-27b