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Qwen3.7 PlusOPEN
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series.
Prices update automatically — checked daily against provider list prices.
- $0.56 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 34% of the 191 open-weight models tracked here
- 29 of 51 Alibaba models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Qwen3.7 Plus, measured by Artificial Analysis. Higher is better.
For the same budget, Qwen3.7 Plus delivers 8.9 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $1.35 per 1M tokens (median of 28) — this one costs $0.56.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash (batch) · GPT-5.6 Luna and 11 more
About this model
Qwen3.7 Plus 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 Plus?
Qwen3.7 Plus 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 39.4 on the Artificial Analysis intelligence index.
Is Qwen3.7 Plus free?
The weights are free and open — you can self-host Qwen3.7 Plus and pay nothing per token. If you prefer a hosted API, list prices are $0.32 per million input tokens and $1.28 per million output tokens.
What is Qwen3.7 Plus good at?
Independent benchmarks from Artificial Analysis give it GPQA 90%, Humanity's Last Exam 35.6%, Long Context Reasoning 69%, SciCode 45.5%, IFBench 78%, τ²-Bench 93%, τ-Bench Banking 17.5%, Terminal-Bench 61%, Terminal-Bench Hard 47%. It is particularly used for code generation.
How fast is Qwen3.7 Plus?
It generates about 55.7 tokens per second, with a median 1.35s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host Qwen3.7 Plus?
Yes. Qwen3.7 Plus 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.