Engineering Logs
Neural Insights
Infrastructure updates, architecture decisions, and research from the NeuralRouting team on AI cost optimization, intelligent LLM routing, and reducing API spending for production systems.
What is the Model Tax? The Hidden Cost Every AI Team Pays
The Model Tax is the invisible cost of sending every LLM request to GPT-4o. 80% of your prompts don't need a premium model. Here's what it's costing you — and how to eliminate it.
What Is an LLM Router? The Engineering Guide to Intelligent Model Selection
An LLM router analyzes each AI request and routes it to the optimal model based on cost, quality, and latency. Learn how routers work, the five routing architectures, and why they cut LLM costs by 60-85%.
How to Reduce OpenAI API Costs by 60-80% with Model Routing (Step-by-Step)
A practical tutorial showing how to implement model routing that sends simple prompts to cheap models and complex ones to GPT-4o. Before/after cost data included.
Best AI Gateway & LLM Router in 2026: Independent Comparison
We compare Portkey, LiteLLM, OpenRouter, Helicone, Vercel AI Gateway, and NeuralRouting across 15 dimensions. No sponsored rankings — just data.
How to Reduce OpenAI API Costs: A Complete Guide for 2025
Most teams overpay for AI by 70–97%. This guide covers every technique to cut your OpenAI API bill without sacrificing output quality.
LLM Routing Explained: How Smart Model Selection Saves 85% on AI Costs
LLM routing automatically selects the cheapest model capable of handling each prompt. Here's how it works, why it matters, and how to implement it.
Semantic Caching for LLMs: Make Repeat Requests Cost Zero
Semantic caching stores vector embeddings of LLM responses and returns them instantly when similar prompts arrive. Here's how it works and what savings to expect.
GPT-4 vs Cheaper Models: When to Use Each (And How to Automate It)
GPT-4 is 83x more expensive than Llama 3.1 8B. For most tasks, the cheaper model is good enough. Here's a framework for deciding — and automating the decision.
The FinOps Guide to AI Spending: How to Track and Control LLM Costs
LLM costs scale unpredictably. This guide covers budget caps, per-user attribution, cost anomaly detection, and ROI measurement for production AI systems.
AI Gateway Pricing Comparison 2026: Vercel AI, OpenRouter vs NeuralRouting
The AI gateway market has matured fast. We break down the real costs of Vercel AI, OpenRouter, and NeuralRouting — including what happens to your LLM bill at scale.
LiteLLM Alternatives for Production AI Gateways in 2026
LiteLLM got you started — but production demands more. We break down the best LiteLLM alternatives for teams that have outgrown the open-source proxy and need reliability, cost control, and observability at scale.
When Is Self-Hosting LLMs Cheaper Than the API? The 2026 Break-Even Analysis
Self-hosting an LLM looks cheaper on paper — until you account for GPU costs, engineering time, and operational overhead. Here is the honest break-even math for 2026.
The Hidden "Model Tax": How Model Cascading Cuts Your LLM Bill by 80%
Every prompt you send to GPT-4o that could have been handled by a $0.06/M token model is a "model tax" you are silently paying. Here is how model cascading eliminates it — with real benchmarks.
LLM Cost Optimization
We publish detailed benchmarks on how intelligent model routing reduces LLM inference costs by 70–85%. Our research covers model tier selection, prompt complexity scoring, and semantic caching strategies for production AI systems.
AI Gateway Architecture
Deep-dives on building production-grade AI gateways — routing logic, fallback strategies, rate limiting, and observability. We cover OpenAI, Anthropic, and open-source model infrastructure.
Neural Research
Findings from running NeuralRouting at scale: cache hit rates, model quality audits, routing confidence matrices, and cost-per-request analytics across different product categories.