Want People to Use Cheaper AI Models? Make Expensive Models Slower
A simple way to reduce growing AI costs: add cost-proportional delay to expensive models at the AI gateway layer.
enterpilot Blog
Practical notes on AI gateway engineering, benchmarking, reliability, and enterprise-grade model operations.
Your API Key Can't See Its Own Usage — So We Fixed That in GoModel
There is no standard usage API in the LLM world: OpenAI and Anthropic hide usage behind admin keys, and tools resort to scraping dashboards. Here's what our research found, and how GoModel's GET /v1/usage gives every caller their own usage, budget, and rate-limit status.
Monitoring and Improving Your AI Agents: Coolhand Labs vs LangSmith vs Langfuse
Once a router like GoModel handles model choice, how do you keep your agents getting better? A look at three approaches — Coolhand Labs, LangSmith, and Langfuse — and which one fits your team.
Benchmarking AI Gateways: GoModel vs LiteLLM vs Portkey vs Bifrost
A reproducible AI gateway benchmark comparing GoModel, LiteLLM, Portkey, and Bifrost on latency, throughput, memory, CPU, cold start, and image size.
GoModel, a LiteLLM alternative, is up to 14.5x faster
A March 23, 2026 localhost benchmark comparing GoModel and LiteLLM across chat completions and the Responses API.
GoModel vs LiteLLM Benchmark: Speed, Throughput, and Resource Usage
A benchmark by the GoModel team comparing latency, throughput, CPU, and memory against LiteLLM using the same workload.