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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰bart-large-cnn is 100% cheaper than Amazon Nova Lite
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
bart-large-cnn is Infinity% cheaper
| Spec | Amazon Nova Lite | bart-large-cnn |
|---|---|---|
| Provider | amazon | |
| Input price / 1M tokens | $0.06 | Free |
| Output price / 1M tokens | $0.24 | — |
| Context window | 300k tokens | — |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Amazon Nova Lite is a very low-cost multimodal model that can process image, video, and text inputs. Fast and accurate for a wide range of tasks requiring visual and language understanding.
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.
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