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Qwen3.5 27B

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

  • Vision
  • Video Input

Added Feb 24, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.25
Output
$2.00
Compare provider prices

Specifications

Context window
260.1K
Max output
65.5K
Parameters
27B
Avg output (7d)
730 tokens
Longer than 61% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

19.4

Better than 67% 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 59% 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 54% of models compared

Last updated Oct 14, 2026

Artificial Analysis

Providers

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