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Qwen3.8 27B TEE

TEE/qwen3.8-27b
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Qwen3.8 27B TEE

TEE/qwen3.8-27b
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Qwen3.8 27B is an open-weight dense vision-language model from Alibaba for reasoning, coding, professional workflows, multimodal interaction, tool use, and structured output. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Added Aug 24, 2026

Model weights

Context Window

262.1K

Max Output

262.1K

Avg output tokens (7d)

261 tokens

20%

Input Price (Auto)

$0.40/1M

Output Price (Auto)

$3.00/1M

Cache Read (Auto)

$0.15/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

20.2

Better than 65% of models compared

Coding Index

44.6

Better than 52% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

12.4%

Better than 36% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

898 Elo

Better than 41% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1052 Elo

Better than 52% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

5.2%

Better than 25% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

69.3%

Better than 61% of models compared

Reasoning

HLE

Humanity's Last Exam

12.1%

Better than 57% of models compared

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

0.0%

Better than 16% of models compared

SciCode

Python programming for scientific computing

36.2%

Better than 15% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

81.8%

Better than 70% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

69.3%

Better than 61% of models compared

Last updated Oct 1, 2026

Artificial Analysis

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