Introducing GLM-5.3-Flash.
GLM-5.3-Flash, a 320B-parameter AI model with 1M-token context, launches under MIT License and runs on Chinese chips, offering competitive multimodal capabilities at low cost.
Introducing GLM-5.3-Flash
Leading capabilities at a highly competitive price
Natively multimodal with a 1M-token context window
A 320B-A18B model released under the MIT License
Previously previewed as Ox Alpha, running entirely on Chinese AI chips
Blog: z.ai/blog/glm-5.3-f…
Available now across all official platforms:
Weights: huggingface.co/zai-org/GLM-5.…
API: docs.z.ai/guides/llm/glm…
Coding Plan: z.ai/subscribe
ZCode: zcode.z.ai/en
Chat: chat.z.ai
AutoClaw: autoclaw.z.ai
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Standard API Pricing for GLM-5.3-Flash (per 1M tokens)
Input: $0.15
Output: $0.50
Cached input: $0.03
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On the Z.ai Code Bench, which measures real-world coding performance, GLM-5.3-Flash clearly outperforms GLM-5.2 at every effort level and performs on par with Claude Opus 4.8. https://t.co/UNenXGTwfp
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Architectural enhancements, combined with an optimized pre-training corpus, enable GLM-5.3-Flash to deliver greater intelligence with less compute. https://t.co/L0B2bLPKlT