Qwen 3.5 397B A17B
Qwen 3.5 397B A17B is Alibaba’s first natively multimodal Open Weights Frontier model, processing text, image, and video within a single model. Its hybrid architecture combining Gated DeltaNet and Sparse MoE activates only 17 billion of the total 397 billion parameters per token, with a context window of 256,000 tokens. Fully commercially usable under the Apache 2.0 license.
- Open Weights
- Frontier
- OpenRouter
- Text
- Vision
- Instruction-Tuned
- Agentic Orchestrator
- Batch
Sovereign Risk: MEDIUM Alibaba Cloud is a Chinese company and subject to China’s National Security Law (NSL). When using the Alibaba Cloud API, government access to transmitted data is possible. Purely local inference with public Open Weights significantly reduces this risk — the CLOUD Act analogue (NSL) is only directly relevant when using the cloud API.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 73.18
- Routine
- 44.07
- Reasoning
- 29.11
- LLM Judge Avg
- 3.72 / 5
- 100 Coverage
- Avg Task Duration
- 80.22s
- Batch
- Token Rate
- 20.44tok/s
- Output Rate
- P95 Latency
- 246.9s
- Top 5 %
- Total Tokens
- 196800
- Output Volume
- Cost per 1K
- $0.0023
- USD / 1K Requests
- Benchmark Cost
- $0.46
- Total · 196800 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.