Strong model quality, higher spend
As usage scales up, budget pressure climbs faster.
- Heavy usage puts more pressure on budget.
- Cache hits can still save up to 90%.
- Switching across models adds integration complexity.
Bring Claude, GPT, and Gemini behind one endpoint without sacrificing model quality, while getting better pricing, steadier routing, and built-in cache savings.
Keep the quality. Bring the cost down.
As usage scales up, budget pressure climbs faster.
Keep the experience of top-tier models while making price and reliability easier to manage.
Lower cost, reliable routing, full model capability, and built-in caching.
Keep token spend from becoming the bottleneck.
Health checks and upstream balancing are built in.
No downgrade, no tampering, and a better fit for agents.
Save another 90% when requests repeat.
A simpler, faster way to work across multiple model providers.
Great for writing, agents, and complex tasks.
A strong fit for general-purpose work and fast rollout.
A flexible addition to multi-model routing strategies.
More providers are added on an ongoing basis.
Change less code and move over quickly.
const client = createClient({
baseURL: "https://llmx.xyz",
apiKey: process.env.LLMX_API_KEY
});
const result = await client.responses.create({
model: "your-preferred-model",
input: "Same tasks, less budget pressure"
});
Start by generating your key.
Only the endpoint and key need to change.
The more you call, the more you save.