DeepSeek · Open weights
DeepSeek R1 Qwen Abliterated
Uncensored version of the Deepseek R1 Qwen 32B model
- Reasoning
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $1.40
- Output
- $1.40
Reference prices as published by the model provider. API example
Specifications
- Context window
- 16.4K
- Max output
- 8.2K
- Average output (7 days)
- 200 tokens
- Longer than 21% of 468 models
Side by side
DeepSeek R1 Qwen Abliterated compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| DeepSeek R1 Qwen AbliteratedDeepSeekThis model | DeepSeek V4.1 Flash UncensoredDeepSeekRemove | |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Discovery tier | Open weights | Open weights |
| Added | Jan 1, 2024 | Oct 1, 2026 |
| Limits | ||
| Context window | 16.38K | 1.05MBest |
| Max output | 8.19K | 65.54KBest |
| Average output | 200 tokens | 643 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.40 | $0.33Best |
| Output | $1.40 | $1.32Best |
| Cache read | — | $0.0083 |
| Performance | ||
| Throughput | — | 295.0 tok/s |
| Time to first token | — | 4.3 s |
| Request success (24h) | 58.0% | 85.5%Best |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | No | Yes |
| Reasoning effort | — | none, low, medium, high |
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.
- Prompt cache hits
- 0.0%
- Request success (24h)
- 58.0%
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.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "huihui-ai/DeepSeek-R1-Distill-Qwen-32B-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/DeepSeek-R1-Distill-Qwen-32B-abliterated",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)DeepSeek
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