
OpenRouter
liteLLM
Eden AI
Portkey
boldrouter
Helicone AI
Merlin Unified API
✨#1 Open Source AI Gateway & API Developer Portal

ModelVRAM
RunMyLLM
slopsome.com
What LLM Can I Run
localLLMrig
SelfHostLLM
QWQ-Max
Hardware-aware AI model discovery. Enter your GPU and VRAM — instantly see every LLM that fits, ranked by speed and quality.
Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | apipark.com | runyard.dev |
| Pricing | — | |
| Company | — | Startup from India · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of APIPark yet.
Runyard helps you discover AI models that fit your machine. It detects your CPU, GPU, and memory, then recommends models that will run on your hardware or through providers. Browse the Model Radar to compare options, check requirements, and copy ready-to-run commands. Use Anchor API to call...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing APIPark and Runyard.dev.
Runyard.dev's answer:
Runyard.dev is the only tool that matches local LLMs to your exact hardware GPU, VRAM and RAM so you know which models will actually run on your machine before you download anything. No guesswork, no trial and error.
Runyard.dev's answer:
Developers, researchers, and AI enthusiasts who want to run LLMs locally but don't want to waste time figuring out compatibility. Anyone who's ever downloaded a model only to find it doesn't fit in their VRAM.
Share your experience with using APIPark and Runyard.dev. For example, how are they different and which one is better?
When comparing APIPark and Runyard.dev, you can also consider the following products.


Free LLM VRAM calculator: estimate GPU memory for local LLMs (weights, KV cache, overhead), checked against 19 public llama.cpp/vLLM logs with a 1.2% median error.
Compare ModelVRAM to APIPark or Runyard.dev:

Pick your GPU or Apple Silicon chip and see which open-weight LLMs fit — with a recommended model per job (coding, reasoning, vision, agents, speed), quantised weight sizes, KV cache at your context length, estimated tokens per second.
Compare RunMyLLM to APIPark or Runyard.dev:

Regrouping the best AI APIs for 10mn integration in your code
Compare Eden AI to APIPark or Runyard.dev:

Search engine for LLM & GPU stats — compare local open-weight and API models and the GPUs that run them. See what fits your rig, how fast, and at what cost. Community reviews, real tokens/sec and a live VRAM fit-calculator.
Compare slopsome.com to APIPark or Runyard.dev: