Top 5 Questions About AI API Gateways (Answered)

#api #llm #ai

Thinking about using an AI API gateway? Here are the top 5 questions developers ask — answered.

Q1: "Why not just use OpenAI's API directly?"

A: You can — but what happens when you want to:

Try DeepSeek V4 (50% cheaper)?
Switch to Qwen3 for multilingual tasks?
Use GLM-4 for reasoning?

With direct API, you're rewriting code. With AIBridge, you just change the model parameter.

Q2: "Will this add latency?"

A: Minimal. AIBridge adds ~50ms (just request forwarding).

Compare that to:

Model inference time: 2-5 seconds
Your database query: 100-500ms

The gateway overhead is negligible.

Q3: "What if the gateway goes down?"

A: Good question. AIBridge has:
✅ 99.9% uptime SLA
✅ Fallback logic (route to backup if primary fails)
✅ Your API key works directly with providers if needed

Pro tip: Keep a fallback direct connection for critical workloads.

Q4: "Is my data safe?"

A: AIBridge:

✅ Does NOT store your conversation content
✅ Only logs metadata (model, tokens, timestamp)
✅ Uses HTTPS/TLS for all connections
✅ Compliant with GDPR/SOC2

Your prompts go directly to the model provider — AIBridge just routes them.

Q5: "How much can I actually save?"

A: Real numbers from AIBridge users:

Task	Direct API	AIBridge	Savings
Simple summarization	$1.00 / 1M tokens (GPT-4o)	$0.50 / 1M (DeepSeek V4 Pro)	50%
Code generation	$3.00 / 1M tokens (Claude)	$0.14 / 1M (DeepSeek Coder)	95%
Long document Q&A	$2.00 / 1M tokens	$0.80 / 1M (Qwen Max)	60%