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 weightsContext Window
262.1K
Max Output
262.1K
Avg output tokens (7d)
261 tokens
Input Price (Auto)
$0.40/1M
Output Price (Auto)
$3.00/1M
Cache Read (Auto)
$0.15/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
20.2
Coding Index
44.6
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
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