B.AI to End Free Trial for GLM-5.3-Flash, Roll Out 90% Off API Pricing on Sept. 12

B.AI to End Free Trial for GLM-5.3-Flash, Roll Out 90% Off API Pricing on Sept. 12

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News Editor
2026-09-11 12:57:52
B.AI said its limited-time free trial for GLM-5.3-Flash is nearing its end, with a dedicated 90% discount on API calls set to take over at 10:00 SGT on Sept. 12. Under the new pricing, users will pay 10% of the original rate, with input priced as low as $0.015 per million tokens and output as low as $0.05 per million tokens. The company describes GLM-5.3-Flash as a natively multimodal large model with 320 billion total parameters and 18 billion active parameters. It also cites a hybrid sparse and linear attention architecture and a 1 million-token context window. According to B.AI, the model is designed for use cases including programming development, AI agents, long-context processing, and high-frequency API workloads. The company said it is keeping a low barrier to access and is aiming to offer developers lower-cost access to high-end compute.

According to ChainCatcher, B.AI said its limited-time free trial for GLM-5.3-Flash is nearing an end, and a dedicated 90% discount on API calls will begin seamlessly at 10:00 SGT on Sept. 12.

Under the offer, users will pay 10% of the original price, saving 90%. Input pricing is listed as low as $0.015/M, while output pricing is as low as $0.05/M.

Model specifications and target workloads

B.AI describes GLM-5.3-Flash as a natively multimodal large model with 320B total parameters and 18B active parameters. The company said the model uses a hybrid architecture combining sparse attention and linear attention, along with a 1M context window.

It said the model performs strongly in scenarios including programming development, AI agents, long-context processing, and high-frequency API workloads.

B.AI’s stated positioning

B.AI said it is maintaining a low barrier to access and is seeking to give developers lower-cost use of top-tier compute resources through competitive pricing.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
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