CAICT Report Reveals Domestic Large-Model Prices Nearly Doubled in 2026
- Published
- Source
- PanDaily.com
A recent report by CAICT indicates that the prices of domestic large models nearly doubled in 2026. This significant increase in pricing coincided with a doubling of throughput, highlighting a growing demand for these models. Additionally, first-token latency saw an increase, while daily token usage reached approximately 500 trillion, underscoring the expanding utilization of token services in various applications.
The findings from CAICT are crucial as they reflect the rapid evolution and adoption of large models within the domestic market. The nearly doubled prices suggest a robust demand, likely driven by advancements in technology and increased reliance on these models for various applications. The rise in daily token usage to 500 trillion further emphasizes the importance of token services in supporting this growth.
CAICT's report highlights the need for ongoing monitoring of pricing trends and latency issues as the market continues to evolve. With daily token usage reaching such high levels, understanding the implications of these changes on service delivery and model performance will be essential for stakeholders in the industry.
Original report
CAICT Token Report: Domestic Model Prices Nearly Doubled in 2026 as Daily Use Hit 500 Trillion
PanDaily.com · [email protected] (Pandaily)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
IROS 2026 Category Award Finalists: All 22 Papers RobotToday · 2 weeks ago
-
6
IROS 2026 Best Paper Finalists: South Korea Leads RobotToday · 2 weeks ago
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
Delta Intelligence 德塔智能
Beijing embodied-AI startup founded 2026 building the Delta-0 humanoid foundation model and D1 data-capture rigs; about RMB 1.2bn raised in six rounds.
Galam Robotics
Paris-area Galam Robotics, founded 2019, makes Buffer-One, a battery-free modular robotic buffer handling 50-5,000 bins at up to 2,000 bins/hour.
Harmony AI
Harmony AI is an AI-native operating system for manufacturing that connects machines, ERP/MES, and people to automate scheduling, paperwork, and reporting.
Bossa Nova Robotics
US retail robotics and AI company providing autonomous shelf-scanning robots and inventory analytics for large-format retail stores.
Zyphra Technologies Inc.
Palo Alto AI company building compact language, vision-language, and text-to-speech models including the open-source Zamba and Zonos model families.
SenseTime (CN) 商汤- 元萝卜
HKEX-listed Chinese AI firm behind SenseNova models and SenseCore cloud, and the SenseRobot home chess and Go robots that move pieces with a robotic arm.
Tompkins Robotics
Orlando, Florida sortation company; tSort tilt-tray robots now number 30,000-plus in over 300 installations sorting up to 50,000 items per hour.
Breathe Technologies
Daresbury, UK warehouse automation integrator founded 2009; deploys sortation robots and packing lines with its own WES/WCS software across 330+ projects.
Fraunhofer Inst (DE)
Munich, Germany applied research organization founded 1949; runs 74 institutes and research units with more than 30,000 staff and a 3.6 billion euro budget.
Rokid Inc
Hangzhou, China AI and AR glasses maker founded 2014; sells the Rokid Glasses, AI Glasses Style, Max 2 and AR Spatial lines to more than 1 million users.
Fireworks AI
Redwood City AI infra startup (2022) serving open-source LLMs like Kimi K3 via API, used by Cursor, Vercel and Notion.
Nebius Group N.V.
Full-stack AI cloud company providing NVIDIA GPU infrastructure, with a dedicated managed cloud for robotics and physical-AI simulation, training and inference.
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.