Open-Source 700B Models Released Two Days Apart as Korea Nears Sovereign AI Elimination Round

Tech Times reports that two open-source 700B-parameter models were released within two days of each other, just as Korea's sovereign AI push enters what the report calls an "elimination round."

The report, published August 1, emphasizes the timing: two 700B-class open-source releases landing back-to-back signals that the open-weight frontier is no longer the exclusive territory of smaller models.

The report frames the releases against Korea's national AI ambitions, where multiple government-backed and corporate projects are competing to build homegrown large language models capable of standing alongside US and Chinese frontier systems.

The "elimination round" framing suggests consolidation ahead: as open-source models at the 700B scale become available, smaller domestic efforts will struggle to differentiate, and only a few Korean players are likely to survive.

For the broader open-source ecosystem, 700B-parameter releases raise the bar for what open-weight models can achieve, putting pressure on closed frontier labs while giving governments an alternative to dependence on foreign APIs.

What to watch next: which organizations released the two models, how they benchmark against existing frontier open-weight systems, and whether Korea's sovereign AI projects can turn strong models into sustainable national infrastructure.