Latest news and updates from DigitSpace
We gave six models the same coding task and measured what each one actually cost. The cheapest produced a working result for 10 cents. The most expensive spent $198 on a single index.html. This AI coding model benchmark shows where the money goes and where it stops buying quality.
A checklist for inference providers who want their LLM API listed on an AI gateway: domain ownership, an OpenAI-compatible endpoint the gateway can actually call, honest capability flags, streaming that reports usage, flat per-million pricing, and rate limits you can sustain. Written against DigitSpace's DigitSpace Providers listing process.
LLM routing on DigitSpace is an election: every provider listing a model is scored on effective price, uptime, throughput, and latency, and the lowest score wins. This guide explains the scoring from the provider's side, with the fare formula, the uptime penalty, cache-aware pricing, and the levers a carrier controls from DigitSpace Providers.
Cache-aware LLM routing learns cache-hit rates and token proportions from your project's recent model usage, so provider selection reflects the workload you actually run. Available automatically across plans, with explicit per-project overrides on Enterprise.
Switching off the Vercel AI Gateway used to mean rewriting how your AI SDK app resolves models — and losing provider-native web search on the way out. DigitSpace now implements the AI SDK's own gateway protocol, so the migration is one line and your bare model strings keep working.
Rotating API keys shouldn't cause service interruption for production AI. Learn how DigitSpace enables secure key rotation for both providers and the gateway.
Our new Payments SDK lets your end-users buy credits inside your app and pay per request for any model — billed through DigitSpace, with your markup as margin. Here's how it works and how to ship it in ~40 lines.
A deep dive into the routing, retry, and failover systems that keep DigitSpace reliable when upstream providers go down.