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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 Google: Gemma 2 9B
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
bart-large-cnn is Infinity% cheaper
| Spec | bart-large-cnn | Google: Gemma 2 9B |
|---|---|---|
| Provider | ||
| Input price / 1M tokens | Free | $0.03 |
| Output price / 1M tokens | — | $0.09 |
| Context window | — | 8k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
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.
Gemma 2 9B by Google is an advanced, open-source language model that sets a new standard for efficiency and performance in its size class. Designed for a wide variety of...
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