One API · 300+ models · OpenAI-compatible

LeaoAPI Unified LLM Gateway

Route every frontier model through a single endpoint. Change one base_url and unlock GPT, Claude, Gemini, DeepSeek, Qwen and Llama — with automatic channel failover and Anycast edge acceleration.

https://leaoapi.com
/v1

No credit card for the free tier · Pay only for what you call

Supported LLM providers
GPT-4o
Claude
Gemini
DeepSeek
Qwen
GLM
Kimi
Llama 3
Mistral
Gemma
+ 290 more models
1
Endpoint
OpenAI-compatible, keep your SDK
300+
Models
Text, vision, embedding, rerank
High availability

Automatic retry and channel failover

When an upstream channel returns a rate limit or an error, the gateway retries the request across channels by priority — same priority first, then the next one down. Channels that keep failing are disabled automatically and probed until they recover.

  • Configurable retry count and triggering status codes
  • Failed channels are disabled, then restored after they recover
  • Multiple channels dispatched by priority and weight
SYSTEM STATUS: NOMINAL TRAFFIC SOURCE DYNAMIC ROUTER ROUTING Channel A ACTIVE Channel B STABLE Channel C STANDBY
Global acceleration

Anycast edge access

Requests terminate on the nearest edge node and ride an accelerated path back to the gateway — shorter connection setup and first-leg round trips, steadier cross-region routing. Model generation time itself is set by the upstream provider.

Zero-retention security

Your prompts stay yours

We keep usage metadata — latency, token counts and cost — not the request body. Keys are scoped, revocable and quota-limited per project. Upstream providers apply their own retention policy; choose a zero-data-retention channel if your workload requires it.

Drop-in migration

OpenAI-compatible by design

Same /v1/chat/completions contract, same streaming format, same SDKs. Migrate an existing app by swapping the base_url — no rewrite, no vendor lock-in.

from openai import OpenAI

client = OpenAI(
  api_key=LEAO_KEY,
  base_url="https://leaoapi.com/v1"
)
Cost control

One bill, per-model budgets

Aggregated pricing across providers on a single invoice. Set spend caps, per-key quotas and model allow-lists — when a cap is reached the call is rejected, so you never overspend.

  • Spend per key and per model, from the usage log
  • Hard stop at the cap, no surprise overage
Observability

See every request, token and dollar

Every call is written to a per-request usage log: latency, time to first token, token counts, model and cost. Query it in the console or export it into your own monitoring stack.

What the console tracks

  • Per-request latency and time to first token (TTFT)
  • Error rate and failure reasons
  • Spend per model and per API key
  • Upstream prompt-cache billing and token consumption
  • Query or export the usage log, or pipe it into your own monitoring
How it works

Three steps to a multi-model stack

1

Create your key

Sign in to the console and generate a project key. Scope it to specific models and set a monthly cap before you write any code.

2

Point your SDK

Replace the base_url with https://leaoapi.com/v1. Your existing OpenAI-compatible code keeps working exactly as before.

3

Route and optimize

Switch models per request, review latency and spend in the usage log, and let the gateway retry another channel when an upstream fails.