How to beginner · 3 min read

How to use Qwen for math problems

Q: How to use Qwen for math problems

Use the OpenAI SDK with the qwen model family by sending math problem prompts to client.chat.completions.create. The model will return step-by-step solutions or answers in the response choices[0].message.content. This approach works for arithmetic, algebra, and more complex math queries.

Quick answer

Use the OpenAI SDK with the qwen model family by sending math problem prompts to client.chat.completions.create. The model will return step-by-step solutions or answers in the response choices[0].message.content. This approach works for arithmetic, algebra, and more complex math queries.

PREREQUISITES

Python 3.8+
OpenAI API key (free tier works)
pip install openai>=1.0

Setup

Install the official openai Python package version 1.0 or higher and set your API key as an environment variable.

Run pip install openai to install the SDK.
Set your API key in your shell: export OPENAI_API_KEY='your_api_key_here' (Linux/macOS) or setx OPENAI_API_KEY "your_api_key_here" (Windows).

bash

pip install openai

Step by step

Use the OpenAI client to call the qwen model for math problem solving. Provide the math question as a user message. The model responds with the solution.

python

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

math_problem = "What is the integral of x^2 from 0 to 3?"

response = client.chat.completions.create(
    model="qwen-7b-chat",
    messages=[{"role": "user", "content": math_problem}]
)

answer = response.choices[0].message.content
print("Qwen answer:\n", answer)

output

Qwen answer:
 The integral of x^2 from 0 to 3 is calculated as follows:

\int_0^3 x^2 dx = [x^3 / 3]_0^3 = (3^3 / 3) - (0^3 / 3) = (27 / 3) - 0 = 9

Common variations

You can use different qwen models like qwen-14b-chat for more complex math problems or enable streaming for real-time output. Async calls are also supported with Python asyncio.

python

import asyncio
import os
from openai import OpenAI

async def async_math():
    client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
    response = await client.chat.completions.acreate(
        model="qwen-14b-chat",
        messages=[{"role": "user", "content": "Solve the equation x^2 - 5x + 6 = 0"}]
    )
    print("Async Qwen answer:\n", response.choices[0].message.content)

asyncio.run(async_math())

output

Async Qwen answer:
 The solutions to the quadratic equation x^2 - 5x + 6 = 0 are x = 2 and x = 3.

Troubleshooting

If you get authentication errors, verify your OPENAI_API_KEY environment variable is set correctly.
If the model returns incomplete answers, increase max_tokens in the request.
For network timeouts, check your internet connection or retry with exponential backoff.

✅

Key Takeaways

Use the OpenAI SDK with qwen-7b-chat or qwen-14b-chat models for math problem solving.
Send math questions as user messages to client.chat.completions.create and parse the response content.
Async and streaming calls are supported for advanced use cases.
Set OPENAI_API_KEY in your environment to authenticate.
Adjust max_tokens if answers are cut off or incomplete.

Verified 2026-04 · qwen-7b-chat, qwen-14b-chat

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