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Qwen3.6 27B

Qwen3.6 27B is a native vision-language dense model with stronger agentic coding and STEM reasoning than Qwen 3.5 27B. It also improves spatial intelligence (including object localization/detection), plus video understanding, document OCR, and visual-agent workflows.

  • Vision
  • Video Input

Added Apr 23, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.20
Output
$2.24
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Specifications

Context window
262.1K
Max output
65.5K
Parameters
27B
Avg output (7d)
268 tokens
Longer than 20% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

19.8

Better than 68% of models compared

Coding Index

46.6

Better than 54% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

93.6%

Better than 90% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

966 Elo

Better than 43% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

66.7%

Better than 58% of models compared

Reasoning

HLE

Humanity's Last Exam

15.1%

Better than 61% of models compared

IFBench

Instruction-following benchmark

45.7%

Better than 53% of models compared

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

21.2%

Better than 61% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

82.9%

Better than 72% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

66.7%

Better than 57% of models compared

Last updated Oct 14, 2026

Artificial Analysis

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