I will give you a metered LLM API gateway — GPT, Claude & Llama through one key

One API key for GPT, Claude, and Llama — a metered LLM gateway with a live usage dashboard, instant provisioning, and pay-as-you-go billing across every model.

Stop juggling three vendor accounts, three billing portals, and three sets of SDK quirks. This gateway gives you a single API key and one OpenAI-compatible endpoint that routes to GPT, Claude, and Llama models — so you can switch models with a one-line change instead of a one-week migration. You're billed by what you actually use, you watch every token in real time, and your key is live the moment you order.

What you get

• One API key, many models. A single bearer key that reaches OpenAI's GPT family, Anthropic's Claude family, and open Llama models. Pick the model per request with the model field — no separate accounts, no separate keys.
• OpenAI-compatible endpoint. The gateway speaks the /v1/chat/completions schema you already know. If your code talks to the OpenAI SDK today, you change the base_url and the key, and you're done. Works with the official OpenAI client libraries in Python, Node, Go, and anything that can POST JSON.
• Streaming support. Server-sent-event streaming (stream: true) works across providers, so token-by-token UIs behave the same no matter which model is behind the call.
• Standard chat parameters. temperature, top_p, max_tokens, stop, system/user/assistant roles, and multi-turn message arrays all pass through to the underlying model.
• A live usage dashboard. A web dashboard that shows requests, token counts (prompt and completion), and per-model breakdowns so you can see exactly where your spend is going — no waiting until the end of the month to find out.
• Metered, pay-as-you-go billing. You pay for the tokens you send and receive. No idle seat fees, no minimum commitment to start, no per-provider subscriptions stacking up.
• Instant key provisioning. Your key is generated and active immediately after ordering. You can make your first call within minutes.
• One auth header to rotate. When you need to roll credentials, you rotate one key instead of chasing three provider consoles.

Plans

All tiers use the same single key and the same endpoint. The difference is throughput headroom, model access, and how much usage visibility and support you get. Billing is metered by usage in every tier.

	Starter	Growth	Scale
Models	GPT + Llama	GPT + Claude + Llama	GPT + Claude + Llama (incl. larger/flagship variants)
Rate limits	Entry-level requests/min	Raised requests/min	High throughput, prioritized routing
Streaming (SSE)	Included	Included	Included
Usage dashboard	Requests + token totals	Per-model breakdowns	Per-model + per-key breakdowns
Concurrency	Single workload	Multiple parallel workloads	Production-grade parallelism
Support	Email	Priority email	Priority + onboarding help
Best for	Prototypes, side projects	Launched apps with real traffic	High-volume / multi-tenant products

You can move between tiers as your traffic grows without re-integrating or changing your key.

How it works

1. Order the gig. Pick the tier that matches your expected traffic.
2. Get your key instantly. You receive your API key and the base endpoint URL right away. Nothing to install on our side, nothing to wait for.
3. Point your client at the endpoint. Set the base URL to the gateway and drop in your key as a bearer token. If you're already on an OpenAI-compatible client, this is a two-line change.
4. Choose a model per request. Send a normal chat-completions request and set the model field to the GPT, Claude, or Llama model you want for that specific call.
5. Ship and watch. Your calls flow through immediately. Open the dashboard to see requests, tokens, and per-model usage update as traffic comes in.
6. Scale when ready. Need more throughput or flagship models? Move up a tier — same key, same code.

Why choose this

• Genuinely one integration. Most "multi-LLM" setups still mean three SDKs and three billing relationships. Here, one OpenAI-compatible endpoint and one key cover all three model families, so adding or swapping a model is a string change, not a project.
• Model flexibility without lock-in. A/B a Claude model against a GPT model against a Llama model on the same prompt by changing one field. Route cheap traffic to open models and reserve flagship models for the hard requests — all without re-plumbing your app.
• You see spend as it happens. The live dashboard means no end-of-month surprises. You can catch a runaway loop or a noisy feature the same day it ships.
• Metered means honest. You pay for tokens, not for the privilege of having an account open. Idle days cost you nothing.
• Fast to start, easy to leave. Instant key, OpenAI-compatible schema, and standard parameters mean both onboarding and any future change are low-friction.

Who it's for / use cases

• Indie devs and startups building a chatbot, assistant, or copilot who want to launch on GPT today and keep the door open to Claude and Llama tomorrow — without a rewrite.
• Teams running A/B model evaluations who need to compare answer quality, latency, and cost across providers using identical request code.
• SaaS builders adding AI features (summarization, drafting, classification, extraction, support replies) who want one billing line and one usage view instead of reconciling several provider invoices.
• Agencies and freelancers shipping client work who need a single key they can provision quickly and a dashboard they can point to when a client asks "where is the usage going?"
• Cost-conscious products that route bulk or low-stakes traffic to open Llama models and escalate only the hard prompts to premium GPT or Claude models.
• Hackathon and prototype teams who need an LLM key live in minutes and don't want to sign up for three separate platforms under time pressure.

FAQ

Q: Do I really only need one API key for all the models? Yes. A single bearer key reaches GPT, Claude, and Llama models through one endpoint. You select the model per request with the model field.

Q: How hard is it to integrate? If you already use an OpenAI-compatible client, you change the base URL and the API key — typically two lines. The request and response shapes follow the /v1/chat/completions schema, so your existing parsing keeps working.

Q: How am I billed? Metering is usage-based: you pay for the prompt and completion tokens you actually use, tracked per model. There's no idle seat fee, and you can see the running totals in the dashboard.

Q: Is streaming supported? Yes. Set stream: true and you'll receive server-sent events token by token, consistently across the supported providers.

Q: How fast can I start making calls? Your key is provisioned instantly on order. Most users send their first successful request within a few minutes.

Q: Can I switch models or upgrade tiers later? Anytime. Switching models is a one-field change on the request. Upgrading tiers keeps the same key and endpoint — no re-integration needed.

Q: What does the dashboard actually show? Request counts, prompt and completion token totals, and per-model breakdowns so you can see exactly which models are driving your usage. Higher tiers add per-key breakdowns.

Q: Which parameters can I send? The standard chat parameters — temperature, top_p, max_tokens, stop, and multi-turn message arrays with system, user, and assistant roles — pass through to the underlying model.