Ox Alpha revealed: @Zai_org’s GLM-5.3-Flash, the first native multimodal model in the GLM-5 series.
Ox Alpha was the biggest model ever on OpenRouter, processing over 20 trillion tokens in 6 days.
Continue to use the model now: https://t.co/avBrUW8BfZ
GLM-5.3-Flash is built for efficient coding and long-horizon agent tasks.
Its hybrid sparse and linear attention architecture preserves accurate long-context capabilities while reducing compute overhead.
We expect many providers to onboard this model throughout the week.
1M-token context. 131K max output. `max` reasoning by default.
Launch pricing via @Zai_org is 50% off through Sep 9 at 16:00 UTC:
$0.075/M input
$0.25/M output
$0.015/M cached input
Then $0.15/M, $0.50/M, and $0.03/M.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
attention — The mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
Why it matters
The tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → volume is the signal: a cheap 1M-context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → model absorbed frontier-scale traffic in under a week. The discounted launch pricing has a hard end date on September 9.
