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Also see picrel from https://artificialintelligenceact.eu/small-businesses-guide-to-the-ai-act/

># Proportional obligations for SME providers of general-purpose AI models
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>Another aspect of the AI Act designed to support SMEs is the principle of proportionality. For providers of general-purpose AI models, the obligations should be “commensurate and proportionate to the type of model provider”. General-purpose AI models show significant generality, are capable of competently performing a range of different tasks, and can be integrated into a range of downstream systems or applications (Art. 3(63) AIA). The way these are released on the market (open weights, proprietary, etc) does not affect the categorisation.
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>A small subset of the most advanced general-purpose AI models are the so-called ‘general-purpose AI models with systemic risk’. That is, models trained using enormous amounts of computational power (more than 10^25 FLOP) with high-impact capabilities that have significant impact on the Union market due to their reach or negative effects on public health, safety, public security, fundamental rights or society as a whole (Art. 3(65) AIA). According to Epoch, there are only 15 models globally that surpass the compute threshold of 10^25 FLOP as of February 2025. These include models like GPT-4o, Mistral Large 2, Aramco Metabrain AI, Doubao Pro and Gemini 1.0 Ultra. Examples of smaller general-purpose AI models that would likely not qualify as having systemic risk include GPT 3.5, the models developed by Silo AI, Aleph Alpha’s Pharia-1-LLM-7B or Deepseek-V3.

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>AI models that would likely not qualify as having systemic risk include [...] Deepseek-V3.