N1N Supported Models: Limits and API Coverage
N1N lists 6 core model families; GPT-4 Turbo and Claude 3.5 Sonnet are the most practical picks for production workloads. Model-by-Model.
N1N lists 6 core model families; GPT-4 Turbo and Claude 3.5 Sonnet are the most practical picks for production workloads. Model-by-Model.
N1N is 24% cheaper than OpenRouter on GPT-4o at 10M tokens/month, and its 162ms latency from Shanghai is roughly half of OpenRouter's typical.
GPT-4o input costs ¥2 per million tokens on LinkAPI’s cheapest channel, while Claude 3.5 Sonnet runs at ¥3 per million input tokens. That’s.
LinkAPI's composite score of 57.6/100 and 96% uptime put it in the mid-tier for AI relay stations — usable, but not the benchmark you'd bet your.
LinkAPI lists two models on its landing page: GPT-4o and Claude 3.5 Sonnet. That's a thin roster for a service supposedly built for developers.
LinkAPI is 15% cheaper than OpenRouter on GPT-4o at 10M input tokens, but its 96% uptime is 2.3 points below OpenRouter's typical 98.3%. Model.
GPT-4o input costs $0 per million tokens on LingxiCode's free tier, but the fine print matters more than the headline number. This station.
LingxiCode hits a 900ms average response latency, which is slower than most mature relay stations that hover around 300-500ms. Pricing & Entry.
LingxiCode lists 2 models; GPT-4o and Claude 3.5 Sonnet are the only options. Model Breakdown: What You Get Two models.
LingxiCode undercuts OpenRouter by roughly 30% on Claude 3.5 Sonnet at 10M tokens/month, but you pay for it with 94% uptime and a 900ms latency.