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How to read the Q4 2026 model list: naming, tiers and three pricing traps Model retirement is not an accident: turning deprecation into a scheduled task RPM, TPM and concurrency: the four real shapes of relay rate limiting, and how to find the true ceiling Video generation behind a relay: three API shapes, four billing traps, one acceptance checklist MCP through a relay: what works, what never will, and how to test it in ten minutes How the relay industry may move in the last three months of 2026 Three traps in choosing a site from a leaderboard alone We probed 194 sites: what this data can and cannot answer A relay selection decision tree: working back from your scenario to a site Evening peak jitter: upstream, network path, or your own concurrency Logging and reconciliation: attributing token spend to the project level Migrating suppliers gradually: replacing an API site without interrupting service Build your own probe: twenty lines of script to monitor your API suppliers Four ways to check a "direct official connection" or "pure resale" claim IP allowlists, sub-accounts and permission tiers: a survey of relay governance Compliance for enterprises using relay sites, broken into executable moves A 30-minute emergency checklist after an API key leak How available niche models like Grok and Llama really are on relay sites Where the value range of domestic models (Qwen, GLM, Kimi, MiniMax) actually sits DeepSeek through a relay: how standard and reasoning variants bill differently Gemini through a relay: choosing between Pro, Flash and Flash-Lite Team budget control: from discovering the overspend at month end to live limits Five terms to check before topping up: balance, refunds and expiry, question by question Agency pricing and volume discounts: how to negotiate, and how far it goes What caching actually saves: a reproducible side-by-side test Image generation on relay sites: how DALL-E, Flux and Midjourney actually differ Speech endpoints (TTS and STT) on relay sites: what exists and what to test Embedding through a relay: the four traps RAG projects fall into Image input (vision) on relay sites: what actually works, and how to test it Cherry Studio, Chatbox and LobeChat: base_url configuration for desktop clients Trae, Windsurf and Kilo Code: how base_url configuration differs across the new IDEs Configuring a custom API in Cursor, and the four errors you will hit Claude Code Router in practice: one entry point, several upstreams JSON mode and structured output: which relay sites really support it, and how to test Context length and truncation: why relay sites error out sooner than you expect Tool use compatibility across relay sites, and how to self-test it Six kinds of streaming (SSE) failure on relay sites, and how to pin down each one The hidden cost of self-hosting a relay: what it costs per month in money and time How Sub2API works and where its compliance line sits New API's protocol conversion: why it can be reached with Anthropic's official SDK Choosing between One API and New API: an operations view, not a feature list Official resale, mixed routing, reverse-engineered: a three-way split of upstream sources and how to identify them 45.83% of endpoints failed identity verification: how to read that industry figure Comparing review platforms for relay services: what apiranking, Ztest and GatewayBench each measure The 2026 relay site ecosystem in mainland China: three kinds of operator behind 2,000 sites Where the compliance line sits when enterprise data goes through a third-party API Common error codes explained: what 401, 403, 404, 429 and 500 each mean After you have chosen: how to keep monitoring your API provider Configuring multiple API providers for failover OpenAI protocol compatibility: chat/completions vs responses Reading a relay service's response latency: one measurement is not the experience How uptime is measured: our methodology and its limits What the /v1/models endpoint is, and why it can verify a relay service Sharing one API key across a team: how to manage it Customer support and chat: balancing reliability against concurrency Batch data processing: how to use a low-rate site correctly Choosing for code completion: why latency beats the rate multiplier Choosing an API as an individual developer: work backwards from monthly usage Mainland relay sites vs overseas platforms: payment, latency, compliance Self-hosting a gateway vs buying a relay service: cost and where each fits Specialist vs aggregator relay services: when a specialist is the better deal Official API vs relay service: where the difference really lies, worked out Switching base_url in the Python SDK: five things people miss Wiring a relay service into Dify or FastGPT Configuring Cursor and Cline to work with a relay service Pointing Codex CLI at a third-party API: what to watch for Claude Code with a relay service: full configuration and troubleshooting Prepaid, subscription or pay-as-you-go: where each billing model wins Why reasoning models cost more than you expected: how thinking tokens are billed Prompt caching on a relay service: does it actually work, and what is it worth From list price to your invoice: a worked cost conversion Who handles your request: the data boundaries inside a relay chain Account throttled or banned: the common triggers for relay service risk controls A relay service starts erroring or slowing down: how to tell whose problem it is Give a relay service a health check: a 20-minute verification checklist Six signals that a relay service is about to disappear API Compass is live: why we keep a relay service's claims apart from our own measurements Corporate procurement of a relay service: invoices, contracts, compliance and risk control 2026 model API pricing review: who actually got cheaper One key, many models: how to choose an aggregating relay service How to check whether a relay service is quietly downgrading your model Six common tricks in cheap relay services, and how to spot each one Three ways to reach Claude from mainland China: official, relay, mirror What a relay service's "rate" actually means: 1.0, 0.3 and 0.05 explained