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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.
💰OLMo3-3B-SiameseNorm-DepthAttention-stage4-instruct is 100% cheaper than Meituan: LongCat Flash Chat
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
OLMo3-3B-SiameseNorm-DepthAttention-stage4-instruct is Infinity% cheaper
| Spec | OLMo3-3B-SiameseNorm-DepthAttention-stage4-instruct | Meituan: LongCat Flash Chat |
|---|---|---|
| Provider | archspace-collection | meituan |
| Input price / 1M tokens | Free | $0.20 |
| Output price / 1M tokens | — | $0.80 |
| Context window | — | 131k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Open-source OLMo3-3B-SiameseNorm-DepthAttention-stage4-instruct model from archspace-collection — available for download and self-hosting on Hugging Face.
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...
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