REAL-TIME GLOBAL RESEARCH
China Artificial Intelligence: GLM-5.3 and DeepSeek‘s repricing shift the capability-cost frontier; raise Zhipu/MiniMax PT, remain OW/Neutral
Research evidence excerpt
Asia Pacific Equity Research
16 August 2026
China Artificial Intelligence
GLM-5.3 and DeepSeek's repricing shift the capabilitycost frontier; raise Zhipu/MiniMax PT, remain
OW/Neutral
Following Zhipu’s GLM-5.3 launch and DeepSeek’s API repricing effective
Aug 17, we maintain OW on Zhipu and Neutral on MiniMax. We raise our
2026-27 revenue forecasts by 6-9% and 0-11%, respectively, and lift our PTs
to HK$1,800 and HK$260. GLM-5.3 raises Zhipu’s own capability, while
MiniMax benefits from a key rival becoming more expensive, and Hailuo H3
adds multimodal optionality. We prefer Zhipu as its improvement is internally
driven and more defensible. For MiniMax, the upcoming M3.1 is the key test
of whether its LLM can regain relevance on the capability-cost frontier.
• Capability and cost define the Pareto frontier; we currently place
greater value on the intelligence end. A model sits on the frontier when no
rival offers better capability at the same or lower price, or comparable
capability more cheaply. Both ends can support attractive
commercialization: frontier intelligence can command premium pricing and
unlock harder workloads, while cost-efficient models can capture large
volumes of mature intelligence. We currently favor capability because the
intelligence frontier is still moving quickly, stronger models are relatively
insulated from price changes by weaker alternatives, while mature
intelligence is increasingly supplied by more providers. Sustainable cost
leadership therefore requires structural efficiency, with DeepSeek providing
the clearest example in China.
Hong Kong
Internet
Olivia Xu AC
(86-21) 6106 6138
SAC Registration Number: S1730525060001
Alex Yao
(86 21) 6106 6505
SAC Registration Number: S1730523020001
Daniel Chen
(86-21) 6106 6205
SAC Registration Number: S1730521040001
J.P. Morgan Securities (China) Company
Limited
• GLM-5.3 moves Zhipu further up the capability curve; M3.1 is the next
test for MiniMax. GLM-5.3 uses the same base model as GLM-5.2 but
achieves meaningful coding and agentic gains through heavier post-training,
according to the company. With API economics broadly unchanged, we
expect stronger adoption and retention.…
The English excerpt is extracted automatically from the cited source page and may contain layout or recognition errors. It is never batch translated.
Open report viewer