Qwen 2.5 32B

Alibaba's Qwen 2.5 32B is a powerful multilingual model with strong coding and reasoning capabilities. With 32 billion parameters it handles complex tasks that smaller models struggle with, including code generation in 20+ programming languages and fluent communication in Chinese, English, Japanese, Korean, and more.

Standard+ requiredfrom $299/mo

5 min provisioning

OpenAI-compatible API

Made by Alibaba Cloud

License: Apache 2.0

Technical Specifications

Tap the icon next to any term for a plain-language explanation.

Model size32B parameters

Memory required32 GB

Speed (M4 Pro)~28 tok/s

QuantizationQ4_K_M

Context window33K tokens

Disk space18 GB

RuntimeOllama + MLX

Use Cases

Multilingual customer support
Code generation and review
Document analysis
Research assistance
Translation

What you get

Ollama runtime with Qwen 2.5 32B pre-loaded
MLX backend for optimized inference
OpenAI-compatible API endpoint
Prometheus metrics

Start using it

curl

curl https://dep-<id>.macyou.cloud/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer mcy_live_<your-key>" \
  -d '{
    "model": "qwen-2.5-32b",
    "messages": [{"role": "user", "content": "Hello!"}],
    "stream": true
  }'

Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    api_key="mcy_live_<your-key>",
    base_url="https://dep-<id>.macyou.cloud/v1"
)

response = client.chat.completions.create(
    model="qwen-2.5-32b",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True
)

for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")

Ready to deploy Qwen 2.5 32B?