AI Rate Card

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.

Base modelAll models on this baseAll models of the providerto the provider

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

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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
https://api.orcarouter.ai/v1
Endpoint
https://api.orcarouter.ai/v1/chat/completions
Model id
qwen/qwen3.7-plus
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.

Provider's API 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