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Qwen · Open weights

Qwen 2.5 32B Abliterated

Added Jan 6, 2025Open weights

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Use in the app

Uncensored version of Qwen 2.5 32B Instruct with restrictions removed.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.70
Output
$0.70

Reference prices as published by the model provider. API example

Specifications

Context window
32.8K
Max output
8.2K
Average output (7 days)
806 tokens
Longer than 65% of 465 models

Side by side

Qwen 2.5 32B Abliterated compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Qwen 2.5 32B AbliteratedQwenThis modelQwen 3.8 27B DarkIdolQwenRemove
ProviderQwenQwen
Discovery tierOpen weightsOpen weights
AddedJan 6, 2025Oct 5, 2026
Limits
Context window32.77K262.14KBest
Max output8.19K32.77KBest
Average output806 tokens554 tokens
Pricing, USD per 1M tokens
Input$0.70$0.10Best
Output$0.70$0.60Best
Cache read—$0.05
Performance
Throughput19.6 tok/s40.9 tok/sBest
Time to first token2.1 sBest2.2 s
Request success (24h)60.4%90.3%Best
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Reasoning effort——

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
19.6 tok/s
Faster than 12% of 250 models
Time to first token
2.1 s
Quicker than 73% of 250 models
Prompt cache hits
0.0%
Request success (24h)
60.4%

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

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": "huihui-ai/Qwen2.5-32B-Instruct-abliterated",
    "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="huihui-ai/Qwen2.5-32B-Instruct-abliterated",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.