GPT-6 Astra API guide: model ID gpt-6-astra, $10/$50 pricing with long-context, Batch and Fast mode rates, 1.05M context, five effort levels, and the breaking changes from GPT-5.6 Sol.

Gemini 3.8 Flash vs 3.7 Flash: same price, speed, and context, but +3 on the AA index, +12 on tau3-Banking, and 30% more output tokens per task. Upgrade?

Step-by-step Gemini 3.8 Flash API guide: get an AI Studio key, call the Interactions API and legacy generateContent, set thinking levels, and test in Apidog.

Use Claude Fable 5.1 in Claude Code: version 2.1.250+, model selection, what Pro and Max pay, effort settings, behavior shifts, and recommended CLAUDE.md lines.

Claude Fable 5.1 has no free tier. The honest paths: API signup credit, Max 50% weekly allowance, Pro usage credits, Batch at half price, and $0.25 cache reads.

Claude Fable 5.1 vs Opus 5: 2x the price uncached but cheaper cache reads, benchmark gaps from 1.4 to 23.6 points, where each wins, and a per-route decision rule.

Uncensored GLM-5.3-Flash drops benign over-refusal from 2.4% to 0.4%. What you gain, what the evals show, and why refusal stops at 11%.

Connect your AI agent to X, Reddit, YouTube and GitHub with free access paths instead of paid APIs, and where the free model gets risky.

GLM-5.3-Flash is half price until September 9, 2026. List rates, worked cost examples, the cached-input and reasoning-effort levers.

Backend for Frontend (BFF) is a per-client backend that reshapes microservice data for one frontend. Learn the pattern, BFF vs gateway, and when to use it.

Learn how to self-host Suna AI, the open-source generalist agent that automates web, file, and API tasks. Step-by-step setup for developers seeking control, privacy, and extensibility in their AI-driven workflows.

Discover how to rapidly build, expose, and manage LLM-connected tools and data using FastMCP and the Model Context Protocol. Learn practical steps for Python developers, plus how Apidog ensures your APIs are robust, documented, and ready for AI integration.

This tutorial provides a detailed guide to accessing the powerful models behind Perplexity AI through Perplexity AI Official API and Openrouter.

This guide will walk you through the essential steps: obtaining your API key, understanding the critical differences between key types (especially regarding costs and usage limits), and performing a simple initial test using the Apidog tool to ensure your key is working correctly.

Unlock the full power of Google BigQuery APIs for automation, integration, and large-scale data analytics. This guide covers setup, Python examples, specialized APIs, and best practices—plus how Apidog streamlines your API workflows.