Qwen3.7 Plus: API price, context window and how to connect

Qwen3.7 Plus by Qwen (Alibaba): $0.32 per million input tokens, $1.28 per million output tokens, a 1M-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.

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In this article

In short#

A cost-effective model of the Qwen3.7 series: it accepts text and images and answers with text. Compared with the previous series it understands images much better.

Specifications#

Provider Qwen (Alibaba)
Released 2026-06-03
Context window 1M tokens
Accepts text, images
Answers with text
Reasoning mode yes
Tool calling yes
Open weights no
Identifier qwen/qwen3.7-plus

Price#

Per 1M tokens In dollars
Input (question, context) $0.32
Output (answer) $1.28

For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about $0.024. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.

What it is good for#

  • An inexpensive everyday assistant
  • Questions about pictures and screenshots
  • Medium-complexity texts

Similar models#

Catalog models with the same kind of output, closest in the price of a typical request.

Model Input Output Window Price
GLM 5.3 $0.079 $1.4 1.05M 1.2× cheaper
Qwen3.8 27B $0.24 $2.2 1M 1.5× more expensive
Devstral 2 2512 $0.4 $2 262K 1.5× more expensive
Mistral Large 4 $0.68 $2.09 1.05M 1.8× more expensive
Llama 4 Maverick $0.188 $0.652 1.05M 1.9× cheaper

Other Qwen (Alibaba) models#

How to connect in SKILLOK#

Qwen3.7 Plus works through OpenRouter: add an OpenRouter key in Settings → AI and pick the qwen/qwen3.7-plus model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — Connecting a model in SKILLOK.

Where the data comes from#

Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.

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