๐๐๐ -๐ฑ.๐ฏ-๐๐๐๐ฆ๐ ๐๐๐๐๐ฆ ๐.๐๐ ๐ ๐ข๐๐๐ ๐จ๐ฆ๐๐๐ ๐
B.AI says GLM-5.3-Flash, also known as โOx Alpha,โ has surpassed 2.41T cumulative tokens, making it the platform's most-used model.
The interesting part isn't only the ranking. It's what the model's capabilities enable.
โ 1M-token context window
โ 320B total parameters
โ 18B active parameters
โ Hybrid sparse + linear attention
โ Strong reasoning
โ Fast, cost-efficient inference
A large context window can be especially useful for long documents, large codebases, research, and multi-step agent workflows where maintaining context matters.
๐๐จ๐ง ๐ฃ๐ข๐ฃ๐จ๐๐๐ฅ๐๐ง๐ฌ ๐๐ฆ๐กโ๐ง ๐ง๐๐ ๐๐๐ก๐๐ ๐ง๐๐ฆ๐ง.
Give Ox Alpha a difficult coding task.
Upload a large document.
Test its reasoning.
Run a multi-step workflow.
Then compare the results with the models you already use.
2.41T+ tokens show significant usage.
Your own workload determines whether it deserves a place in your AI toolkit.
@BAI_AGI
@justinsuntron
#TRONEcoStar
B.AI says GLM-5.3-Flash, also known as โOx Alpha,โ has surpassed 2.41T cumulative tokens, making it the platform's most-used model.
The interesting part isn't only the ranking. It's what the model's capabilities enable.
โ 1M-token context window
โ 320B total parameters
โ 18B active parameters
โ Hybrid sparse + linear attention
โ Strong reasoning
โ Fast, cost-efficient inference
A large context window can be especially useful for long documents, large codebases, research, and multi-step agent workflows where maintaining context matters.
๐๐จ๐ง ๐ฃ๐ข๐ฃ๐จ๐๐๐ฅ๐๐ง๐ฌ ๐๐ฆ๐กโ๐ง ๐ง๐๐ ๐๐๐ก๐๐ ๐ง๐๐ฆ๐ง.
Give Ox Alpha a difficult coding task.
Upload a large document.
Test its reasoning.
Run a multi-step workflow.
Then compare the results with the models you already use.
2.41T+ tokens show significant usage.
Your own workload determines whether it deserves a place in your AI toolkit.
@BAI_AGI
@justinsuntron
#TRONEcoStar
