Alibaba's Qwen3.7-Plus supports text, video and imagery inputs at low cost of $0.4/$1.6 per 1M token — but it's proprietary
- Published
- Source
- Venturebeat.com
Alibaba has unveiled its latest AI large language model, Qwen3.7-Plus, this week, enhancing its Qwen family with advanced multimodal capabilities and a cost reduction of 60% compared to the previous text-only model, Qwen3.7-Max. Unlike earlier versions, Qwen3.7-Plus is available solely under a closed commercial license through proprietary APIs and Qwen Chat, marking a significant shift from Alibaba's previous strategy of offering open-source models. This change may disappoint users and enterprises, including major U.S. companies like Airbnb, that relied on open-source versions.
The new model excels in multimodal tasks, such as generating enterprise-grade visuals and analyzing videos and images, which its predecessor could not perform. With a competitive pricing structure, Qwen3.7-Plus is positioned just above its Chinese competitor's discounted model. It features a 1-million token context window and a unique parameter called 'preserve_thinking,' which helps maintain continuity during complex tasks, a critical need for developers.
Despite its advantages, benchmarks indicate that Qwen3.7-Plus still falls short of leading U.S. models in raw capability. However, it is designed to replace high-cost models in developer workflows and robotic process automation, offering a cost-effective solution for enterprises. The model's cloud-based deployment raises compliance concerns for organizations with strict data residency requirements, as it cannot be downloaded or hosted locally. Overall, Qwen3.7-Plus presents a compelling option for enterprises seeking efficient, multimodal AI solutions without incurring high operational costs.
Original report
Alibaba's Qwen3.7-Plus supports text, video and imagery inputs at low cost of $0.4/$1.6 per 1M token — but it's proprietary
Venturebeat.com · [email protected] (Carl Franzen)This briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
BioRobotics Laboratory, Korea University of Technology and Education
Korea, Republic of (South)
South Korean university research laboratory focusing on haptics, exoskeletons, rehabilitation robotics, and autonomous ground vehicles.
McMaster Manufacturing Research Institute
Canada
Hamilton, Ontario applied manufacturing research center at McMaster University; runs a 21,000 sq ft facility with seven research labs.
Robotics Education & Competition Foundation
United States
The REC Foundation is a US nonprofit that runs VEX-based robotics and drone competitions reaching 1.1 million students across 70 countries.
Ortelio Ltd
United Kingdom
Ortelio Ltd is a UK cloud robotics research company founded in 2011 that develops AI platforms giving robots intelligence for service and healthcare tasks.
Parata Systems
United States
Durham, North Carolina pharmacy automation maker acquired by BD in 2022; builds robotic vial-filling and packaging systems.
Pensa Systems
United States
Austin-based AI retail shelf platform using autonomous drones and CV to detect stockouts; customers include J&J, AB InBev, and Circle K.
Datanomix
United States
No-Operator-Input production monitoring software that turns CNC machine data into real-time visibility and prescriptive coaching for manufacturers.
Datatang 数据堂（北京）科技股份有限公司
China
Beijing AI training-data supplier founded 2010 and quoted on NEEQ; its Nexdata arm sells egocentric, teleoperation and hand-pose datasets for robot learning.
Anyscale
United States
Anyscale is a San Francisco AI infrastructure firm behind Ray, the open-source engine for large-scale model training; Nscale agreed to buy it for $1.65B.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
