Qwen3.5 27B Thinking
Qwen3.5 27B with extended reasoning enabled. A native vision-language dense model optimized for fast responses.
- Reasoning
- Vision
- Video Input
Added Feb 24, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.25
- Output
- $2.00
Specifications
- Context window
- 260.1K
- Max output
- 65.5K
- Parameters
- 27B
- Avg output (7d)
- 2.5K tokens
- Longer than 95% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
22.9
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
93.9%
Better than 91% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
77.7%
Better than 79% of models compared
Reasoning
HLE
Humanity's Last Exam
23.9%
Better than 72% of models compared
IFBench
Instruction-following benchmark
75.6%
Better than 93% of models compared
CritPt
Research-level physics reasoning
0.9%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
32.6%
Better than 76% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
20.7%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
81.5%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
85.8%
Better than 80% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
77.7%
Better than 79% of models compared
Last updated Oct 2, 2026
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