Unverified60% confidenceFactExact time
Open-source models have historically lagged behind closed-source models in performance by 6 to 18 months.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
9/9/2026
First Seen
Valid until: 12/8/2026
Sources
Related Entities
Related Claims
UnverifiedAccording to Epoch AI's 2026 statistics, the gap between open-source models and the most powerful closed-source models averages only about 4 months.79% similarUnverifiedThe pace at which the open-source community caught up with closed-source frontier models was generally lagging by 12–18 months before 202374% similarUnverifiedThe training data cutoff dates of many open-source models remain at 2023 or even earlier.68% similarUnverifiedThe standard practice of major providers such as OpenAI and Anthropic is to maintain endpoints with precise version numbers for each model (e.g., gpt-4o-2024-08-06) and to announce deprecations months in advance.67% similarUnverifiedThe introduction of the Observation framework occurred at the end of 2023, making general-purpose large models with earlier training data cutoffs prone to generating deprecated old patterns.64% similar
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