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Qwen 3.8 27B Uncensored Fast by Heabsy

Added Oct 16, 2026

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Use in the app

Heabsy's NVFP4 build of Qwen3.8-27B by Alibaba Cloud, with refusal removal based on huihui-ai's Huihui-Qwen3.8-27B-abliterated. Quantized and calibrated by Heabsy, with unpublished weights under the Heabsy Model License. Supports text and image input, tools, and optional reasoning capped at 16,384 tokens within the output budget. This named build is separate from Qwen 3.8 27B Uncensored.

  • Reasoning
  • Tools
  • Vision
Input
Text, Images
Output
Text
Reasoning effort
none · high
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$1.00
Output
$3.00
Cache read
$0.22

Reference prices as published by the model provider. API example

Specifications

Context window
524.3K
Max output
235.9K
Average output (7 days)
1.5K tokens
Longer than 86% of 473 models

Side by side

Qwen 3.8 27B Uncensored Fast by Heabsy compared

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

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Qwen 3.8 27B Uncensored Fast by HeabsyheabsyThis modelStep 5 PreviewstepfunRemove
Providerheabsystepfun
Discovery tierBalancedBalanced
AddedOct 16, 2026Sep 20, 2026
Limits
Context window524.29K1MBest
Max output235.93K—
Average output1.5K tokens1.5K tokens
Pricing, USD per 1M tokens
Input$1.00$1.00
Output$3.00$2.70Best
Cache read$0.22$0.05Best
Performance
Throughput203.4 tok/s—
Time to first token1.4 s—
Request success (24h)98.6%100.0%Best
Benchmark indexes
Intelligence Index—43.7
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputNoYes
Video inputNoYes
Parallel toolsNoYes
Reasoning effortnone, highlow, medium, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Qwen 3.8 27B Uncensored Fast by Heabsy
  • Step 5 Preview

Intelligence Index

  • Qwen 3.8 27B Uncensored Fast by Heabsy—
  • Step 5 Preview43.7
3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 51.0%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 17.7%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 1,423 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 1,587 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 14.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 88.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 18.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 46.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 33.3%

  • SciCode

    Scientific computing in Python

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 58.9%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen 3.8 27B Uncensored Fast by Heabsy: —
    • Step 5 Preview: 88.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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
203.4 tok/s
Faster than 85% of 260 models
Time to first token
1.4 s
Quicker than 88% of 260 models
Prompt cache hits
96.1%
About $0.25 per 1M input tokens with caching
Request success (24h)
98.5%
Reliable

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.

Hourly request success · last 72 hoursLowest hour 82.8%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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": "heabsy/qwen3.8-27b-uncensored-fast",
    "reasoning_effort": "none",
    "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="heabsy/qwen3.8-27b-uncensored-fast",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

heabsy

Other heabsy models, starting with the same family.