What Can I Run AI? API for agents and developers

Everything on this site is available as JSON for AI agents, scripts and tools. No key and no sign-up. Use it when a user asks whether an open LLM will run on their GPU or Mac, how much VRAM a model needs, how fast it will run, or what hardware to buy for a model.

Quick start

curl 'https://whatcanirunai.vercel.app/api/v1/fit?model=qwen3-14b&hardware=rtx-4090&quant=Q4'

Endpoints

• GET /api/v1/index.json: catalog of endpoints and files.
• GET /api/v1/models.json: all 656 models with parameters and memory need at Q4, Q8 and FP16 (static, free).
• GET /api/v1/hardware.json: all 82 devices with usable memory, bandwidth and list price (static, free).
• GET /api/v1/fit?model=&hardware=&quant=: one fit verdict with tokens-per-second range (free).
• GET /api/v1/what-runs?hardware=: every model on one device (free).
• GET /api/v1/recommend?model=&quant=&budget=&min_tps=: cheapest devices that run a model (free during preview; planned $0.01 per call via x402).
• GET /api/v1/matrix?quant=: full model by hardware matrix (free during preview; planned $0.02 per call via x402).

Machine-readable specs

• OpenAPI 3.1 spec
• llms.txt and llms-full.txt
• MCP server (Streamable HTTP): https://whatcanirunai.vercel.app/mcp, manifest at /.well-known/mcp
• Every page is also available as Markdown: send Accept: text/markdown or add index.md to the URL.

Authentication

None. All endpoints are public and read-only. Please cache responses; the data changes at most a few times a day.

Paid calls with x402

Heavier endpoints will use x402, the open HTTP 402 payment standard, so agents can pay per call in USDC without an account. When enabled, a call without payment returns HTTP 402 with a PAYMENT-REQUIRED header; your x402 client signs and retries with PAYMENT-SIGNATURE, and the response carries PAYMENT-RESPONSE. You are never charged for an error. Static data and single fit checks stay free.

Errors

Errors use application/problem+json with a title and a hint link to the list of valid ids.

Embed widget

Drop a live "what can this GPU run?" checker on a blog or docs page. No key, no signup. The widget is an iframe pointing at /embed/.

<iframe
  src="https://whatcanirunai.vercel.app/embed/?gpu=rtx-4090"
  title="What Can I Run AI embed"
  loading="lazy"
  style="width:100%;max-width:440px;height:420px;border:0;border-radius:12px;overflow:hidden">
</iframe>

Query params: gpu (device id) and optional n (GPU count, 1–2). Full interactive reverse lookup: /what-can-i-run/. JSON: GET /api/v1/what-runs?hardware=.

Accuracy

Numbers are estimates from our published formula. Prices are list prices, not live street prices.