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.
💰plamo-embedding-1b is 91% cheaper than Meituan: LongCat Flash Chat
⚡Meituan: LongCat Flash Chat is 57ms faster than plamo-embedding-1b
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
plamo-embedding-1b is 975% cheaper
| Spec | plamo-embedding-1b | Meituan: LongCat Flash Chat |
|---|---|---|
| Provider | pfnet | meituan |
| Input price / 1M tokens | $0.02 | $0.20 |
| Output price / 1M tokens | — | $0.80 |
| Context window | — | 131k tokens |
| Latency (p50) | 57ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
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.
LongCat-Flash-Chat is a large-scale Mixture-of-Experts (MoE) model with 560B total parameters, of which 18.6B–31.3B (≈27B on average) are dynamically activated per input. It introduces a shortcut-connected MoE design to reduce...
Want to swap in a different model or estimate monthly costs?