NexAIX-官方博客
How to Connect to GPT-5.6 API: Selecting Sol, Terra, Luna and Configuring Inference Parameters
GPT-5.6 comes in three variants—Sol, Terra, and Luna—all supporting a 1.05M token context window and up to 128K output tokens; integration only requires changing the base_url, reasoning depth is controlled via reasoning.effort, and long-context tests verify whether a channel is downgraded.
How to Conduct AI API Performance Testing: Five Fixed Variables and Gray-Scale Comparison Method
Learn how to conduct reproducible AI API performance testing by fixing five key variables, distinguishing offline benchmarks from production gray-release comparisons, and interpreting results using percentiles.
GPT-5.6 Sol API Pricing: How to Recalculate Costs After the Price Cut
GPT-5.6 Sol API currently costs $4.00/1M input and $20.00/1M output, with the promotional pricing guaranteed at least until November 21, 2026. This article explains weighted unit price calculations, cache hit rate verification, and fallback plans.
How to Choose a Long-Context API: 5 Cost Criteria for 1M Windows
This article provides 5 cost criteria for choosing a long-context API, combined with the actual performance of 1M models like Kimi K3, to guide developers in deciding between expanding the window and RAG retrieval.
How to Evaluate AI Models? 6 Steps to Build Your Own Business Evaluation Set
Developers evaluating AI models should build their own business evaluation set: define tasks with clear pass criteria, stratify samples, lock models and parameters, run across models with the same code, and establish a regression baseline. This article provides 6 actionable steps and judgment standards, plus pitfalls in black-box routing and web search evaluation.
