Qwen3.5 397B A17B
Qwen 3.5's open-source 397B MoE model (17B active params) with hybrid linear attention. Supports text, image, and video input with a 256K context window.
- Vision
- Video Input
Added Feb 16, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.39
- Output
- $2.34
Specifications
- Context window
- 258K
- Max output
- 65.5K
- Parameters
- 397B / 17B
- Total / active
- Avg output (7d)
- 356 tokens
- Longer than 33% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
21.4
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
83.9%
Better than 75% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
64.3%
Better than 55% of models compared
Reasoning
HLE
Humanity's Last Exam
19.8%
Better than 68% of models compared
IFBench
Instruction-following benchmark
51.6%
Better than 61% of models compared
CritPt
Research-level physics reasoning
0.9%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
35.6%
Better than 82% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
24.5%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
82.7%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
86.1%
Better than 81% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
64.3%
Better than 55% of models compared
Last updated Oct 3, 2026
Artificial AnalysisProviders
Choose explicit providers for this model. Auto routing remains available as the default option.
Loading provider options…