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Qwen3.8 27B Thinking

qwen/qwen3.8-27b:thinking
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Qwen3.8 27B Thinking

qwen/qwen3.8-27b:thinking
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Qwen3.8 27B is an open-weight multimodal model from Alibaba for reasoning, coding, visual understanding, tool use, and structured output. This variant enables thinking by default. Requests containing video cost $0.32 per million input tokens and $2.50 per million output tokens.

Added Aug 16, 2026

Model weights

Context Window

262.1K

Max Output

32.8K

Avg output tokens (7d)

2.2K tokens

92%

Input Price (Auto)

$0.15/1M

Output Price (Auto)

$0.70/1M

Cache Read (Auto)

$0.040/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

33.7

Better than 86% of models compared

Coding Index

68.1

Better than 79% of models compared

Agentic Index

45.8

Better than 89% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

48.2%

Better than 65% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

15.7%

Better than 20% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1401 Elo

Better than 77% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1411 Elo

Better than 78% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

16.6%

Better than 60% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

82.0%

Better than 92% of models compared

MLCR-AA

Medical long-context reasoning

21.7%

Better than 73% of models compared

Reasoning

HLE

Humanity's Last Exam

33.9%

Better than 82% of models compared

CritPt

Research-level physics reasoning

5.4%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

5.6%

Better than 58% of models compared

SciCode

Python programming for scientific computing

46.6%

Better than 43% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

15.6%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

30.3%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

90.5%

Better than 90% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

82.0%

Better than 92% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

45.5%

Last updated Oct 1, 2026

Artificial Analysis

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