Qwen3.8-Max API

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://queue.modelrunner.run/alibaba/qwen3.8-max",
    api_key=os.environ["MODELRUNNER_API_KEY"],
)

completion = client.chat.completions.create(
    model="alibaba/qwen3.8-max",
    messages=[
      {
        "role": "user",
        "content": [
          {
            "type": "image_url",
            "image_url": {
              "url": "https://media.modelrunner.ai/RUzu91W6MnzSN2S01RjJg.png"
            }
          },
          {
            "type": "text",
            "text": "Read the sign in this photo exactly as written, then tell me how many birds are perched on it. Answer in two short lines."
          }
        ]
      }
    ],
    reasoning_effort="medium",  # low | medium | high — thinking bills as output tokens
)
print(completion.choices[0].message.content)

# Streaming: add stream=True and iterate the chunks
# for chunk in client.chat.completions.create(..., stream=True):
#     print(chunk.choices[0].delta.content or "", end="")

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://queue.modelrunner.run/alibaba/qwen3.8-max",
  apiKey: process.env.MODELRUNNER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "alibaba/qwen3.8-max",
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://media.modelrunner.ai/RUzu91W6MnzSN2S01RjJg.png"
          }
        },
        {
          "type": "text",
          "text": "Read the sign in this photo exactly as written, then tell me how many birds are perched on it. Answer in two short lines."
        }
      ]
    }
  ],
  reasoning_effort: "medium", // low | medium | high — thinking bills as output tokens
});
const reply = completion.choices[0].message.content;

// Streaming: pass stream: true and iterate the chunks
// for await (const chunk of await client.chat.completions.create({ ..., stream: true })) {
//   process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
// }

# One synchronous call — the reply is in the response body (no polling)
curl https://queue.modelrunner.run/alibaba/qwen3.8-max/chat/completions \
  -H "Authorization: Bearer $MODELRUNNER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "image_url",
            "image_url": {
              "url": "https://media.modelrunner.ai/RUzu91W6MnzSN2S01RjJg.png"
            }
          },
          {
            "type": "text",
            "text": "Read the sign in this photo exactly as written, then tell me how many birds are perched on it. Answer in two short lines."
          }
        ]
      }
    ],
    "reasoning_effort": "medium"
  }'

# Streaming (Server-Sent Events, ends with "data: [DONE]")
curl -N https://queue.modelrunner.run/alibaba/qwen3.8-max/chat/completions \
  -H "Authorization: Bearer $MODELRUNNER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "image_url",
            "image_url": {
              "url": "https://media.modelrunner.ai/RUzu91W6MnzSN2S01RjJg.png"
            }
          },
          {
            "type": "text",
            "text": "Read the sign in this photo exactly as written, then tell me how many birds are perched on it. Answer in two short lines."
          }
        ]
      }
    ],
    "reasoning_effort": "medium",
    "stream": true
  }'