LLM API Integration Guides
Hands-on tutorials · Pricing analysis · Integration guides
How to Use Gemini API in China: Gemini 3.8 Flash High-Concurrency Benchmark & Direct Access Guide
Wondering how to use Gemini API in China? Benchmark Google Gemini 3.8 Flash TTFT latency, 100-concurrency throughput, and proxy failover with APIBox direct relay.
Cline & Roo Code Benchmark 2026: Claude 5 vs GPT-6 Astra vs Gemini 3.8 Under Stress
Comprehensive stress test of Claude 5 (Sonnet/Opus), GPT-6 Astra, and Gemini 3.8 in VSCode autonomous agents (Cline & Roo Code). We benchmark TTFT latency, throughput, 100-concurrency rate limits, 200K AST context refactoring, and code rework rates to provide the ultimate decision matrix.
Claude Code CLI Model Benchmark: Claude-Sonnet-5 vs GPT-6 Astra vs Gemini-3.8-Flash in Real Production Tasks
Which LLM truly powers Claude Code CLI in large-scale codebases? We put Claude-Sonnet-5, GPT-6 Astra, and Gemini-3.8-Flash through k6 stress tests and 50 blind AST refactoring tasks to evaluate TTFT latency, 100-concurrency rate limit thresholds, and token unit economics.
GPT-6 Astra Production Benchmark: TTFT Latency, 100-VU Concurrency, and Autonomous Agent Quality
How does GPT-6 Astra perform in real-world production? We ran k6 benchmarks testing Time-To-First-Token (TTFT), 100-concurrency rate limit breakpoints, and blind testing across Hermes Agent, Claude Code, and Cursor.
Best Claude Model for Coding: Sonnet 5 vs Opus 5 Real-World Comparison and Setup
A hands-on comparison for developers: should you pick Claude Sonnet 5 or Opus 5 for coding? Compare cost, latency, multi-file refactoring, and get a direct setup guide for Cursor and Cline.
LiteLLM vs APIBox: Self-Hosted LLM Proxy or Managed API Gateway?
Compare LiteLLM and APIBox for unified LLM access. Learn when to self-host an LLM proxy, when to use a managed API gateway, and how OpenAI-compatible routing affects cost and operations.
Which AI Model Is Best for Coding? Claude vs GPT vs Gemini vs DeepSeek in 2026
A practical comparison of Claude, GPT, Gemini, and DeepSeek for AI coding in 2026, covering code generation, debugging, refactoring, long-context work, and real cost trade-offs for developers.