Unverified50% confidenceFactExact time
15M parameters is roughly equivalent to about one-eighth of early GPT-2 small (about 117M parameters).
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe mini GPT model has a final parameter count of 13,693,824, which falls within the target range of 10–30 million.77% similarUnverifiedGPT-3 reached a parameter scale of hundreds of billions (175 billion parameters) and demonstrated few-shot and zero-shot capabilities.70% similarUnverifiedBERT的参数规模为3.4亿，GPT-3的参数规模为1750亿67% similarUnverifiedThe same parameter name reasoning_effort behaves differently across models from different vendors: in gpt-5.4-mini the median output tokens rose from 18 at none to 254 at high (×14.1); gpt-oss-120b rose from refusal to 1,340 (×4.6); claude-haiku-5.5 rose from 150 to 298 (×2.0); gemini-3.7-flash rose from 453 to 1,013 (×2.2).63% similarUnverified万象模型提供了 1.3B 和 14B 参数量的不同规模版本63% similar
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