qwen/qwen-2.5-coder-32b-instruct
32,768 context · $0.66/M input tokens · $1.00/M output tokens
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in code generation, code reasoning...
Pricing
Pay-per-use
No upfront costs, pay only for what you use
API Usage
Use the following code examples to integrate with our API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="qwen/qwen-2.5-coder-32b-instruct",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Model Introduction
Qwen qwen-2.5-coder-32b-instruct
qwen qwen-2.5-coder-32b-instruct
Why It Looks Great
- Large Language Model architecture for efficient processing
- 32768 context window for long document handling
- Competitive pricing at $0.0/$0.1 per million tokens
Key Features
- Context Window: 32768 tokens
- Max Output: 32768 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Qwen |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 32768 tokens |
| Max Output | 32768 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.0 |
| Output | $0.1 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: qwen/qwen-2.5-coder-32b-instruct
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="qwen/qwen-2.5-coder-32b-instruct",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "qwen/qwen-2.5-coder-32b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: qwen/qwen-2.5-coder-32b-instruct
- Provider: Qwen
Info
Supported Functionality
API Access Guide
Qwen 2.5 Coder 32b Instruct API
qwen/qwen-2.5-coder-32b-instruct
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...
Input
$0.66 /M
Output
$1 /M
Context
33K
Max Output
33K
Try Qwen 2.5 Coder 32b Instruct on WaveSpeedAI
Access Qwen 2.5 Coder 32b Instruct through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Qwen 2.5 Coder 32b Instruct
How much does Qwen 2.5 Coder 32b Instruct cost via the API?+
Pricing on WaveSpeedAI: $0.66 per million input tokens and $1.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of Qwen 2.5 Coder 32b Instruct?+
Qwen 2.5 Coder 32b Instruct supports up to 33K tokens of context with up to 33K tokens of output per request.
Is Qwen 2.5 Coder 32b Instruct OpenAI-compatible?+
Yes. WaveSpeedAI exposes Qwen 2.5 Coder 32b Instruct through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
How do I get started with Qwen 2.5 Coder 32b Instruct?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Qwen 2.5 Coder 32b Instruct before paying per token.