Practical LLM API guides, model reviews, and integration tutorials.
Based on Tencent's official Hy3 release, this review explains why Hy3 matters: 295B MoE scale, 21B active parameters, 256K context, stronger agent and coding performance.
A practical step-by-step guide to integrating major LLM APIs, including OpenAI-compatible endpoints, Claude-native protocol, and unified access to Chinese models.
An in-depth review of DeepSeek V4 Pro covering 1M context window, coding benchmarks, reasoning capabilities, pricing, and practical use cases for developers.
From concepts to hands-on implementation, learn how to use large language model APIs to build AI agents for task automation and intelligent workflow orchestration.
Compare Chinese LLM API and China LLM API access for overseas teams: China MaaS pricing, Kimi, GLM, Qwen, DeepSeek routes, and one OpenAI-compatible API key.
A source-backed guide to Kimi K3 API pricing, the kimi-k3 model ID, 2.8T parameters, 1M context, native vision, cost examples, and the scheduled release of full weights.
A practical breakdown of how large language model token billing works — input vs. output pricing, prompt caching, and concrete tactics to reduce your API spend.
A comprehensive comparison of leading AI coding assistants across code generation, context understanding, multilingual support, pricing, and overall value.
Grok 4.5 review based on xAI documentation, X reactions, and Reddit tests, covering coding, agents, 500K context, pricing, limits, and practical value.