Blog
Practical guides on LLM cost optimization, model routing, failover architecture, and building with multiple AI models.
GPT-5.2 vs Claude Sonnet 4.5: Real-World Benchmark Comparison
Head-to-head comparison of GPT-5.2 and Claude Sonnet 4.5 across coding, writing, reasoning, and cost. Based on real API usage data, not synthetic benchmarks.
Intelligent LLM Routing: How to Pick the Right Model Per Query
Why one-size-fits-all model selection wastes money and quality. Learn how intelligent routing matches each query to the optimal LLM based on task type, cost, and latency.
Building Reliable LLM Apps: A Failover Architecture Guide
How to design LLM applications that survive provider outages. Circuit breakers, fallback chains, health checks, and real-world failure patterns explained.
How to Migrate from OpenAI to a Multi-Model Architecture
Step-by-step guide to moving from a single OpenAI integration to multi-model routing with failover, cost optimization, and model comparison. No rewrite required.
How to Cut Your LLM API Costs by 40% in 2026
Practical strategies for reducing LLM API spend: model tiering, auto-routing, prompt optimization, and cost-aware failover. Real numbers and implementation steps.
BYOK Guide: Use Your Own API Keys with an LLM Gateway
Learn how Bring Your Own Key (BYOK) works, why teams use it, and how to route LLM requests through your own provider contracts with LLMWise.
OpenRouter vs LLMWise: Feature-by-Feature Comparison
A detailed comparison of OpenRouter and LLMWise for multi-model LLM routing. See which platform fits your use case for cost, orchestration, and reliability.
LLM API Pricing Comparison 2025: Every Major Model Ranked by Cost
Compare API pricing for GPT-5.2, Claude Sonnet 4.5, Gemini 3 Flash, DeepSeek V3, Llama 4, and Grok 3. Find the cheapest LLM API for your use case.
Prompt Caching and LLM Optimization Techniques That Actually Work
Practical techniques to reduce LLM API latency and cost: prompt caching, token optimization, model tiering, and intelligent routing strategies.
Multi-Model AI Architecture: Why One LLM Is Not Enough
Learn why production AI systems need multiple models, how to design a multi-model architecture, and the orchestration patterns that make it work.