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Qwen · Open weights

Qwen 2.5 Coder 32b

Added Jul 3, 2025Open weights

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Use in the app

The latest series of Code-Specific Qwen large language models.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.20
Output
$0.20

Reference prices as published by the model provider. API example

Specifications

Context window
32K
Max output
8.2K

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Qwen 2.5 Coder 32b compared

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Qwen 2.5 Coder 32bQwenThis modelThe Drummer Cydonia 24B v4MistralRemove
ProviderQwenMistral
Discovery tierOpen weightsOpen weights
AddedJul 3, 2025Jul 22, 2025
Limits
Context window32K32.77KBest
Max output8.19K—
Average output—535 tokens
Pricing, USD per 1M tokens
Input$0.20$0.20
Output$0.20Best$0.24
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen2.5-coder-32b-instruct",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="qwen/qwen2.5-coder-32b-instruct",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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