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bart-large-cnn
BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. You can use this model for text summarization.
Best for
General ChatSummarisationContent Generation
Context Window
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Input Cost
Free
Output Cost
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Latency p50
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Pricing Details
Standard PricingFree tier
Input (per 1M tokens)
$0.00
Output (per 1M tokens)
$0.00
Hallucination Score™ (est.)
Community reliability estimate · not official
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Not yet rated
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
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Provider
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