Continue from this implementation example into live AI market coverage.

A backend engineer running a moderate-traffic SaaS with about 8 million LLM tokens per day reduced AI inference costs by 60% by migrating from OpenAI GPT-4o to DeepSeek models via the Global API. They implemented a tiered routing system to select between cheaper and heavier models based on prompt complexity, added caching with Redis to exploit repetitive prompts, and enabled streaming responses to improve perceived latency. The migration required minimal code changes and was operational in under 10 minutes. The solution maintained comparable quality (84.6% vs 86.1% internal score) with significantly lower latency and cost.