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Z.ai ·

Z.ai releases GLM-5.3-Flash, the first natively multimodal GLM-5 series model, with 320B parameters, and says it served the model as Ox Alpha on Chinese chips

We introduce GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series. With 320B total parameters and just 18B active parameters …

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In this story GLM-5 GLM-5.2 GLM-5.3-Flash Z.ai
Z.ai releases GLM-5.3-Flash, the first natively multimodal GLM-5 series model, with 320B parameters, and says it served the model as Ox Alpha on Chinese chips

Lead Source

Z.ai — Z.ai releases GLM-5.3-Flash, the first natively multimodal GLM-5 series model, with 320B parameters, and says it served the model as Ox Alpha on Chinese chips ↗

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Coverage · 0 Discussion · 0
Aug 26Aug 27

Coverage

Bloomberg: Z.ai says it tested GLM-5.3-Flash anonymously as Ox Alpha on OpenCode and OpenRouter, with all traffic served on Chinese AI chips, and releases its weights

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Hugging Face: Hugging Face
South China Morning Post: South China Morning Post
The Decoder: The Decoder
Implicator.ai: Implicator.ai
VentureBeat: VentureBeat
The Deep View: The Deep View
RuntimeWire: RuntimeWire
SiliconANGLE: SiliconANGLE
Business Insider: Business Insider
Latent.Space: Latent.Space

Discussion

@semianalysis_ @zai_org @zixuanli_ @eliebakouch @_nathancalvin @jayair @zai_org @skirano @teortaxestex @sriramk @teortaxestex @rohanpaul_ai @chris_j_paxton @hesamation @altryne @jeremiahdillon @nathancgy4 @nathancgy4 @yuchenj_uw @bookwormengr @zixuanli_ @semianalysis_ @semianalysis_ @andrewcurran_ @miaai_lab @sentdex @arena @arena @hesamation @cgtwts @opencode @zephyr_z9 @zrdianjiao @zephyr_z9 @kimmonismus @zixuanli_ @jun_song @vllm_project @scaling01 @scaling01 @miaai_lab @openrouter @openrouter @alamin_ai_ @thezachmueller @zai_org @zai_org @kimmonismus @aibattle_ @andrewcurran_ @kimmonismus

Related stories

The New Stack: Z.ai releases GLM-5.3's weights under a new license requiring companies with $10B+ in revenue over 12 months to pass Z.ai's security review to host the model
VentureBeat: Z.ai prices GLM-5.3 API access at $1.40/1M input tokens and $4.40/1M output tokens, unchanged from GLM-5.2; Kimi K3 costs $3/1M input and $15/1M output tokens
Bloomberg: Alibaba releases Qwen3.8-Flash, an open-weight, 125B-parameter model built on its next-gen Qwen 4 architecture, saying it rivals Opus 4.6 and V4-Flash
Bloomberg: Tencent releases Hy4 Preview, a 770B-parameter open model with 1M context window, and says it outperforms Z.AI and Moonshot models in internal tests
The Information: Alibaba says its new open-source multimodal model, Qwen3.8-27B, passed 1M+ downloads within a few days of release, making it one of its fastest-growing models

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