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AQwen3.7 MaxOPEN

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series.

1MContext window · tokens
$1.48Input price · per M tokens
$4.43Output price · per M tokens
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Prices update automatically — checked daily against provider list prices.

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Benchmarks & performance

Independent benchmark scores for Qwen3.7 Max, measured by Artificial Analysis. Higher is better.

Intelligence index46.7
Coding index66
GPQA92.3%
Humanity's Last Exam40.5%
Long Context Reasoning74.7%
SciCode48.8%
IFBench80.5%
τ²-Bench94.7%
τ-Bench Banking11.8%
Terminal-Bench74.5%
Terminal-Bench Hard50.8%
💰 Blended price$3.75 / 1M tokens
📈 Value12.5 intelligence points per $
vs. models measured heretop 17%
Scores higher than 83% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $2.25 per 1M tokens (median of 6) — this one costs $2.22.
Cheaper and better on this index: GPT-5.6 Sol (batch) · GLM 5.3 · GLM 5.3 Flash and 16 more
Benchmark data by Artificial Analysis

About this model

Qwen3.7 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 Qwen3.7 Max?

Qwen3.7 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 46.7 on the Artificial Analysis intelligence index.

Is Qwen3.7 Max free?

The weights are free and open — you can self-host Qwen3.7 Max and pay nothing per token. If you prefer a hosted API, list prices are $1.48 per million input tokens and $4.43 per million output tokens.

What is Qwen3.7 Max good at?

Independent benchmarks from Artificial Analysis give it GPQA 92.3%, Humanity's Last Exam 40.5%, Long Context Reasoning 74.7%, SciCode 48.8%, IFBench 80.5%, τ²-Bench 94.7%, τ-Bench Banking 11.8%, Terminal-Bench 74.5%, Terminal-Bench Hard 50.8%. It is particularly used for code generation.

Can I self-host Qwen3.7 Max?

Yes. Qwen3.7 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.

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