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AQwen3.5 397B A17BOPEN

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.

262KContext window · tokens
$0.5Input price · per M tokens
$3.6Output price · per M tokens
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Benchmarks & performance

Independent benchmark scores for Qwen3.5 397B A17B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

Coding index48.2
GPQA89.3%
Humanity's Last Exam29%
Long Context Reasoning77.3%
SciCode44.8%
IFBench78.8%
τ²-Bench95.6%
τ-Bench Banking13.4%
Terminal-Bench51.3%
Terminal-Bench Hard40.9%
⚡ Speed58.8 tokens/sec
⏱ Latency1.67s to first token
💰 Blended price$1.35 / 1M tokens
Benchmark data by Artificial Analysis

About this model

Qwen3.5 397B A17B is an open-weight AI model by Alibaba. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Qwen3.5 397B A17B?

Qwen3.5 397B A17B is an AI language model from Alibaba. It is open-weight: you can download it and run it on your own hardware, for free.

Is Qwen3.5 397B A17B free?

The weights are free and open — you can self-host Qwen3.5 397B A17B and pay nothing per token. If you prefer a hosted API, list prices are $0.5 per million input tokens and $3.6 per million output tokens.

What is Qwen3.5 397B A17B good at?

Independent benchmarks from Artificial Analysis give it GPQA 89.3%, Humanity's Last Exam 29%, Long Context Reasoning 77.3%, SciCode 44.8%, IFBench 78.8%, τ²-Bench 95.6%, τ-Bench Banking 13.4%, Terminal-Bench 51.3%, Terminal-Bench Hard 40.9%. It is particularly used for code generation.

How fast is Qwen3.5 397B A17B?

It generates about 58.8 tokens per second, with a median 1.67s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Qwen3.5 397B A17B?

Yes. Qwen3.5 397B A17B has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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