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Qwen3.5 397B A17BOPEN
Qwen3.5 397B A17B (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.
Prices update automatically — checked hourly against provider list prices.
Benchmarks & performance
Independent benchmark scores for Qwen3.5 397B A17B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.
For the same budget, Qwen3.5 397B A17B delivers 4.1 times more capability. Open weights also mean you can self-host it and pay nothing per token.
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 hourly, 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. It scores 33.7 on the Artificial Analysis intelligence index.
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 $0.39 per million input tokens and $2.34 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 27.3%, Long Context Reasoning 65.7%, SciCode 42%, 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 70.2 tokens per second, with a median 1.54s 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.
Open-source alternatives
Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.