Loading...
Loading...
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 Micro
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
bart-large-cnn is Infinity% cheaper
| Spec | Amazon Nova Micro | bart-large-cnn |
|---|---|---|
| Provider | amazon | |
| Input price / 1M tokens | $0.04 | Free |
| Output price / 1M tokens | $0.14 | — |
| Context window | 128k tokens | — |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Amazon Nova Micro is the fastest and most cost-effective text-only model in the Nova family, optimized for speed and low latency. Ideal for customer service, summarization, and translation at scale.
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.
Want to swap in a different model or estimate monthly costs?