qwen

Qwen Text on RunAPI

Use the official OpenAI SDK or any OpenAI-compatible HTTP client and switch the base URL to https://runapi.ai/v1. This skill covers Qwen text models. For Qwen image generation, install the separate Qwen 2 skill.

Setup

OPENAI_API_KEY=YOUR_RUNAPI_TOKEN
OPENAI_BASE_URL=https://runapi.ai/v1

Get a RunAPI API Key at .

Core recipe - Chat Completions

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_RUNAPI_TOKEN",
    base_url="https://runapi.ai/v1",
)

response = client.chat.completions.create(
    model="qwen3-next-80b-a3b-instruct",
    messages=[{"role": "user", "content": "Write a concise API migration note."}],
)
print(response.choices[0].message.content)
print(response.usage)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_RUNAPI_TOKEN",
  baseURL: "https://runapi.ai/v1",
});

const response = await client.chat.completions.create({
  model: "qwen3-next-80b-a3b-instruct",
  messages: [{ role: "user", content: "Write a concise API migration note." }],
});

Streaming

stream = client.chat.completions.create(
    model="qwen3-next-80b-a3b-instruct",
    messages=[{"role": "user", "content": "Write a compact implementation plan."}],
    stream=True,
)
for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

Streaming runs through a regional edge proxy so the request does not hold a Rails/Puma thread. Long generations should always stream.

Protocol compatibility

Qwen text models are also available through RunAPI's Anthropic-compatible and Gemini contents client surfaces. RunAPI bridges those request and response shapes to the OpenAI-compatible chat request format, so use these protocol paths only when an existing tool expects those formats:

curl -X POST "https://runapi.ai/v1/messages" \
  -H "x-api-key: YOUR_RUNAPI_TOKEN" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-next-80b-a3b-instruct",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Draft a concise answer."}]
  }'

curl -X POST \
  "https://runapi.ai/v1beta/models/qwen3-next-80b-a3b-instruct:streamGenerateContent" \
  -H "x-goog-api-key: YOUR_RUNAPI_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"contents":[{"role":"user","parts":[{"text":"Hello!"}]}]}'

For new app code, prefer the OpenAI-compatible setup.

List models

curl https://runapi.ai/v1/models \
  -H "Authorization: Bearer YOUR_RUNAPI_TOKEN"

Supported models

References

• Model overview, pricing, and rate limits: https://runapi.ai/models/qwen.md
• Provider comparison: https://runapi.ai/providers/alibaba.md
• Catalog: https://runapi.ai/models.md

Agent rules

• Keep API keys in OPENAI_API_KEY, RUNAPI_TOKEN, or a secret manager; never inline them in commits or shell history.
• Default new integrations to the OpenAI-compatible client at https://runapi.ai/v1.
• Use streaming for responses longer than a few hundred tokens.
• For Qwen image generation, use the Qwen 2 model skill instead of this text LLM skill.
• For pricing, rate-limit, and commercial-usage answers, link to https://runapi.ai/models/qwen.md rather than copying values.