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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.
💰embeddinggemma-300m is 100% cheaper than Amazon Nova Lite
⚡Amazon Nova Lite is 45ms faster than embeddinggemma-300m
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
embeddinggemma-300m is Infinity% cheaper
| Spec | Amazon Nova Lite | embeddinggemma-300m |
|---|---|---|
| Provider | amazon | |
| Input price / 1M tokens | $0.06 | Free |
| Output price / 1M tokens | $0.24 | — |
| Context window | 300k tokens | — |
| Latency (p50) | — | 45ms |
| 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.
EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the same research and technology used to create Gemini models. EmbeddingGemma produces vector representations of text, making it well-suited for search and retrieval tasks, including classification, clustering, and semantic similarity search. This model was trained with data in 100+ spoken languages.
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