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Qwen3.5 27B

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

qwen/qwen3.5-27b
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Qwen3.5 27B is a native vision-language dense model optimized for fast responses while balancing quality and inference speed.

Added Feb 24, 2026

Model weights

Context Window

260.1K

Max Output

65.5K

Avg output tokens (7d)

1.6K tokens

84%

Input Price (Auto)

$0.27/1M

Output Price (Auto)

$2.16/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

19.4

Better than 64% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

87.1%

Better than 81% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

64.0%

Better than 55% of models compared

Reasoning

HLE

Humanity's Last Exam

13.9%

Better than 60% of models compared

IFBench

Instruction-following benchmark

46.9%

Better than 55% of models compared

CritPt

Research-level physics reasoning

0.3%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

31.8%

Better than 75% 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

84.2%

Better than 75% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

64.0%

Better than 55% of models compared

Last updated Oct 1, 2026

Artificial Analysis

Providers

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