智谱AI发布GLM-5.3-Flash开源模型，声称在10万片国产芯片集群上完成推理部署，寒武纪宣称Day 0兼容

China’s Zhipu AI has launched its latest open-weight model, GLM-5.3-Flash – previously code-named Ox Alpha – saying that the system ran entirely on a cluster of 100,000 domestically produced chips during a high-profile stealth trial. The announcement followed a week of heavy traffic on artificial intelligence model marketplace OpenRouter and agent platform OpenCode, where the model processed 62 trillion tokens before its formal release on Wednesday, according to Zhipu. On OpenRouter, the system processed more than 11 trillion tokens in its first three days, making it the platform’s biggest launch to date. Zhipu’s shares closed more than 12 per cent higher at HK$1,160 in Hong Kong on Thursday. The deployment marks a significant test of China’s ability to handle large-scale global inference workloads on home-grown hardware, as Beijing seeks to reduce reliance on advanced processors from US market leader Nvidia amid tight export controls. During its preview, Ox Alpha rapidly surged to the top of global usage rankings. According to OpenRouter data on Thursday, the model ranked first among coding systems on the platform, accounting for 10.3 trillion tokens, or nearly 31 per cent of its total weekly volume. To overcome the lower memory capacity and bandwidth of individual Chinese chips compared with top-tier Nvidia graphics processing units, Zhipu – which operates internationally under the Z.ai brand – said it built a specialised inference engine that split processing stages into independently managed computing pools. The firm said these architectural adjustments tripled end-to-end serving performance from its initial baseline, bringing hardware efficiency and per-token costs on par with mainstream Nvidia accelerators. The claims have yet to be independently verified. While Zhipu did not name specific chip suppliers for this cluster, it has previously collaborated with top domestic semiconductor developers, including Huawei Technologies, Cambricon Technologies and Moore Threads. Cambricon said on Thursday it had achieved “Day 0” compatibility to serve GLM-5.3-Flash. Featuring 320 billion total parameters, GLM-5.3-Flash activated just 18 billion per request to reduce computing overhead, according to Zhipu. It is also the first model in the GLM-5 series to natively process visual information alongside text. Benchmarking firm Artificial Analysis gave the model a score of 57 on its Intelligence Index, placing it 10th globally and third among open-weight models, trailing Moonshot AI’s Kimi K3 and Alibaba Group Holding’s Qwen3.8 2.4T A95B. Zhipu is touting aggressive pricing to win over international developers, offering GLM-5.3-Flash at 1/10th the rate of standard GLM-5.3 – dropping to 1/20th under a limited promotion. It claimed the new model cost about 1/40th as much as Anthropic’s Opus 4.8 at comparable intelligence levels. Despite heavy traffic during the free trial, early developer feedback was mixed. While users praised the model’s ability to debug complex code – a community test showed that it solved 28 per cent of 175 LiveCodeBench problems – others reported occasional hallucinations, dropped tasks and sluggish generation. Artificial Analysis similarly noted that GLM-5.3-Flash’s output speed trailed the industry average. Zhipu has released the model weights globally and integrated GLM-5.3-Flash across its application programming interface, ZCode platform, and GLM Coding Plan. The launch coincides with intensified competition in China’s open-source ecosystem. On Wednesday, Alibaba released Qwen3.8-Flash-Next, a multimodal preview of Qwen4 that it said activated 6 billion of its 125 billion parameters to similarly drive down inference costs. Alibaba owns the South China Morning Post. Additional reporting by Xinmei Shen