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Qwen3.5 27B TEE

TEE/qwen3.5-27b
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Qwen3.5 27B TEE

TEE/qwen3.5-27b

Qwen3.5 27B is a native vision-language dense model optimized for fast responses while balancing quality and inference speed. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Added Mar 13, 2026

Model weights

Context Window

262.1K

Max Output

65.5K

Input Price (Auto)

$0.30/1M

Output Price (Auto)

$2.40/1M

Cache Read (Auto)

$0.15/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

22.9

Better than 74% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

93.9%

Better than 91% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

77.7%

Better than 82% of models compared

Reasoning

HLE

Humanity's Last Exam

23.9%

Better than 76% of models compared

IFBench

Instruction-following benchmark

75.6%

Better than 93% of models compared

CritPt

Research-level physics reasoning

0.3%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

32.6%

Better than 76% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

15.7%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

75.1%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

85.8%

Better than 80% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

77.7%

Better than 82% of models compared

Last updated Sep 15, 2026

Artificial Analysis

Providers

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