Qwen3.8 27B Thinking
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.
- Reasoning
- Vision
- Video Input
- Tool Calling
- Structured Output
Added Aug 16, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.15
- Output
- $0.70
- Cache read
- $0.040
Specifications
- Context window
- 262.1K
- Max output
- 32.8K
- Parameters
- 27B
- Avg output (7d)
- 2.2K tokens
- Longer than 92% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
33.7
Coding Index
68.1
Agentic Index
45.8
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 57% 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
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