A
Qwen3.8 MaxOPEN
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview.
Prices update automatically — checked daily against provider list prices.
- $3 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 1% of the 191 open-weight models tracked here
- 50 of 51 Alibaba models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Qwen3.8 Max, measured by Artificial Analysis. Higher is better.
For the same budget, Qwen3.8 Max delivers 3.1 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $5 per 1M tokens (median of 12) — this one costs $3.
Cheaper and better on this index: GPT-5.6 Sol (batch) · GLM 5.3
About this model
Qwen3.8 Max 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 Qwen3.8 Max?
Qwen3.8 Max 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 58.1 on the Artificial Analysis intelligence index.
Is Qwen3.8 Max free?
The weights are free and open — you can self-host Qwen3.8 Max and pay nothing per token. If you prefer a hosted API, list prices are $2 per million input tokens and $6 per million output tokens.
What is Qwen3.8 Max good at?
Independent benchmarks from Artificial Analysis give it GPQA 92.7%, Humanity's Last Exam 43%, Long Context Reasoning 74.3%, SciCode 52.9%, τ-Bench Banking 51.3%, Terminal-Bench 81.3%. It is particularly used for code generation.
How fast is Qwen3.8 Max?
It generates about 25.7 tokens per second, with a median 1.76s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host Qwen3.8 Max?
Yes. Qwen3.8 Max 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.