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Qwen3.6 Max PreviewOPEN
Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters.
Prices update automatically — checked daily against provider list prices.
- $2.31 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 3% of the 191 open-weight models tracked here
- 49 of 51 Alibaba models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Qwen3.6 Max Preview, measured by Artificial Analysis. Higher is better.
For the same budget, Qwen3.6 Max Preview delivers 2.2 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $0.85 per 1M tokens (median of 18) — this one costs $2.31.
Cheaper and better on this index: GPT-5.6 Sol (batch) · GLM 5.3 · GLM 5.3 Flash and 30 more
About this model
Qwen3.6 Max Preview 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 Qwen3.6 Max Preview?
Qwen3.6 Max Preview 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 41.1 on the Artificial Analysis intelligence index.
Is Qwen3.6 Max Preview free?
The weights are free and open — you can self-host Qwen3.6 Max Preview and pay nothing per token. If you prefer a hosted API, list prices are $1.03 per million input tokens and $6.16 per million output tokens.
What is Qwen3.6 Max Preview good at?
Independent benchmarks from Artificial Analysis give it GPQA 88.8%, Humanity's Last Exam 30.8%, Long Context Reasoning 72%, SciCode 46.9%, IFBench 76.6%, τ²-Bench 95.9%, Terminal-Bench Hard 43.9%.
Can I self-host Qwen3.6 Max Preview?
Yes. Qwen3.6 Max Preview 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.