Qwen3.7 Plus · orcarouter
Qwen3.7-Plus is Alibaba's most capable multimodal agent model, unifying vision and language into a single, versatile agent foundation. Built on the Qwen3.7 text backbone, it delivers a comprehensive upgrade in vision-language understanding while retaining full agentic strength in coding, tool use, and productivity workflows. It accepts text, image, and video inputs with text output, and serves a 1M-token context window with up to 65K output tokens - enough to keep long documents, large codebases, screen recordings, and multi-turn agent sessions coherent without truncation. What sets it apart is its ability to operate as a multimodal interactive hybrid agent: it perceives real-world scenes, reads screens and operates GUIs, writes code from visual references, navigates mobile apps end-to-end, and answers visual questions grounded in web knowledge - blending GUI and CLI interactions within a single agent loop. It generalizes across agent scaffolds, performing consistently whether driven through Claude Code, OpenClaw, Qwen Code, or other frameworks, with native function calling, structured outputs, and controllable reasoning depth. This makes it a dependable default for AI coding assistants, computer-use and browser agents, visual QA pipelines, and long-running automation where perception, reasoning, and execution must stay aligned.
Input, $/1M $0.35
Output, $/1M $1.42
Cache read $0.071
Cache write —
Context 1 000 000
Max output 64 000
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/qwen3.7-plus", "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/qwen3.7-plus",
"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/qwen3.7-plus",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}),
});
console.log(await r.json());Request (JSON)
{
"model": "qwen/qwen3.7-plus",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 256
}Response (JSON)
{
"id": "chatcmpl-...",
"object": "chat.completion",
"model": "qwen/qwen3.7-plus",
"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/qwen3.7-plus, prices checked 2026-11-04; seller's page: https://orcarouter.ai/models/qwen/qwen3.7-plus
Technical details
ID: offer:orcarouter|qwen/qwen3.7-plus