Unverified50% confidenceFactExact time
o200k_base is the tokenization encoding used by newer GPT series, with a larger vocabulary, and its segmentation efficiency for structured text such as code and JSON is usually better than the older cl100k_base.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe o200k_base vocabulary is expanded to approximately 200,000 tokens, offering more efficient encoding of common symbols and multi-byte characters in code compared to cl100k_base.78% similarUnverifiedOCR tools designed for LLMs increasingly tend to output Markdown or structured-markup text so that models can correctly parse hierarchical relationships60% similarVerifiedThe Byte Pair Encoding (BPE) tokenization algorithm was originally introduced by OpenAI in GPT-2, splitting text into subword units by iteratively merging high-frequency character pairs.58% similarVerifiedGPT-series models use the Byte Pair Encoding (BPE) algorithm to segment text into tokens.56% similar
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