Qwen 3.8 27B Uncensored (Thinking)

This abliterated community variant of Qwen 3.8 27B removes safety Refusals from the weights, making it usable for security research and red-teaming — at an MMLU loss of around two points according to the developer. Locally operable under Apache-2.0, with a 262,000-token context and image and video input.

Alibaba Version 3.8 Commercial use permitted Dense 27.8 B 262 K Context 04/2026 locally tested

  • Open Weights
  • Workstation
  • vLLM
  • Text
  • Uncensored
  • Vision
  • Unusable

Sovereign Risk: MEDIUM The base weights originate from Alibaba in China, which represents a provenance and supply-chain risk for regulated environments. This card, however, describes a locally operated, Apache-2.0-based OrcaRouter derivative variant with abliterated weights and NVFP4/FP8 quantization. Without cloud egress, the practical risk is lower than with API usage, but remains moderate due to the Chinese provenance and community modification.

Key metrics

Score · Latency · Cost · Quality

Total Score Silver
79.65
Routine
48.16
Reasoning
31.48

Rank #8

LLM Judge Avg
4.07
100 Coverage
Avg Task Duration
129.88
Unusable
Token Rate
16.56
Output Rate
P95 Latency
315.76
Top 5 %
Total Tokens
135300
Output Volume
Cost per 1K
$0
USD / 1K Requests
Benchmark Cost
$0
Total · 135300 tok

Benchmark modules

10 modules · weighted · vs. model median & top performer

Qwen 3.8 27B Uncensored (Thinking) Best model Ø All models
Code Quality 79.72
CLI Benchmark 93.67
Logical Reasoning 78.28
UX Writing 75.27
Documentation 80.07
Content Transform. 79.76
Cultural Intelligence 78.24
Synthesis Quality 59.17
Tool Execution 90
ToolUse Score 79.17
Benchmark Cost $0

Token efficiency & latency

Consumption per module vs. model median

Token consumption per module

Performance profile