AI Rate Card

Qwen3.8 Max · orcarouter

Qwen3.8-Max is Alibaba's newest flagship model in the Qwen line and its highest-capability tier to date. Alibaba positions it directly against GPT-5.5, Claude Opus 4.7, and Gemini 3.1 Pro in its own migration guide, recommending it whenever a task needs the strongest available reasoning — complex multi-step analysis, deep logical derivation, and demanding agentic work. It is natively multimodal, listed by Alibaba under both text generation and image/video understanding: it accepts text, images, and video and returns text, with a 1M-token context window. The official capability matrix confirms full support for thinking mode, function calling, built-in tools, and structured outputs, making it a complete drop-in for agent frameworks and tool-calling pipelines. Qwen3.8-Max is served through three wire formats — OpenAI-compatible, Anthropic-compatible, and native DashScope — across Beijing, Singapore, Tokyo, Frankfurt, and Virginia. Thinking is toggled with the enable_thinking parameter (or reasoning.effort on the Responses API). It is the premium tier of the family: reach for it when correctness on hard problems outweighs cost, and drop to Qwen3.7-Plus or Qwen3.7-Flash for everyday volume.

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

Input, $/1M $2.00

Output, $/1M $6.00

Cache read $0.25

Cache write $2.50

Context 1 000 000

Max output 131 072

Accepts application/pdf, 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/qwen3.8-max
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-max", "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-max",
      "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-max",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());
Request (JSON)
{
  "model": "qwen/qwen3.8-max",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Response (JSON)
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "qwen/qwen3.8-max",
  "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/qwen3.8-max, prices checked 2026-11-04; seller's page: https://orcarouter.ai/models/qwen/qwen3.8-max

Technical details

ID: offer:orcarouter|qwen/qwen3.8-max