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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.
💰plamo-embedding-1b is 69% cheaper than Amazon Nova Lite
⚡Amazon Nova Lite is 57ms faster than plamo-embedding-1b
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
plamo-embedding-1b is 223% cheaper
| Spec | Amazon Nova Lite | plamo-embedding-1b |
|---|---|---|
| Provider | amazon | pfnet |
| Input price / 1M tokens | $0.06 | $0.02 |
| Output price / 1M tokens | $0.24 | — |
| Context window | 300k tokens | — |
| Latency (p50) | — | 57ms |
| 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.
PLaMo-Embedding-1B is a Japanese text embedding model developed by Preferred Networks, Inc. It can convert Japanese text input into numerical vectors and can be used for a wide range of applications, including information retrieval, text classification, and clustering.
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