The gap between open weights LLMs and closed source LLMs
Why CEREBRO kept it
LLM capability analysis; core mechanics discussion.
The text below is an automated extraction of the article at https://blog.doubleword.ai/frontier-os-llm, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (blog.doubleword.ai).
Prediction: A Frontier Open Source LLM Will Be Released On 3rd December 2026 I have seen a version of the above plot going around Twitter and wanted to dig a bit deeper into it. What the plot above is showing is the gap between open weights LLMs and closed source LLMs. We measure this gap by looking at the frontier of performance of open weights LLMs on a benchmark and then looking back into the past how long ago was the closed source frontier at that level. It is a measure of how long it took for open source models to catch up to the new capabilities reached by the closed source model frontie
Community take
Open weights models lack durable sustainability since they depend on corporate philanthropy (DeepSeek) that can evaporate anytime, unlike closed models with business incentives.
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