Qwen3.5 397B A17B
Alibaba (Qwen)
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...
What is 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...
Specifications
- Developer: Alibaba (Qwen)
- Context window: 262.1K tokens
- Max output: 65.5K tokens
- Input modalities: text, image, video
- Output modalities: text
- Input price: $0.3900 per 1M tokens
- Output price: $2.34 per 1M tokens
- Knowledge cutoff: —
- Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Use Qwen3.5 397B A17B with PromptLayer
PromptLayer lets teams manage, evaluate, and observe prompts that run on Qwen3.5 397B A17B alongside every other model in their stack. Version prompts, run evals across models, and ship safe rollouts from the same dashboard.
Ready to try it yourself? Sign up for PromptLayer and start managing your prompts in minutes.