Qwen
Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.
- Input / 1M tokens
- $0.390
- Output / 1M tokens
- $2.34
- Context window
- 262K tokens
- Provider
- Qwen
- Cached input / 1M
- $0.195
Performance
Median streaming throughput and first-token latency measured by Artificial Analysis.
- Output tokens / sec
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- Time to first token
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