
OpenRouter
liteLLM
Helicone AI
Langfuse
APIPark
boldrouter
Eden AI
Build production-grade & reliable AI apps with Portkey

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?
Based on our record, Portkey seems to be more popular. It has been mentioned 12 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | portkey.ai | runyard.dev |
| Pricing | ||
| Company | — | Startup from India · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Portkey 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.


No analysis of Portkey yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
PortKeys LH5H Review - High Brightness 5.2" Touchscreen Monitor with camera control
More videos
No Runyard.dev videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Portkey 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 Portkey and Runyard.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Portkey has the broadest adoption story in the open-source gateway space, a large community, and a deep enterprise tier. It is a reasonable pick for teams that want a mature product with a long feature list. - Source: dev.to / 15 days ago
Portkey is an open-source AI gateway that unifies access to 250+ Large Language Models (LLMs) across dozens of providers behind a single, OpenAI-compatible API. Instead of integrating with each provider's SDK, applications send requests... - Source: dev.to / 28 days ago
Developer gateways - MegaLLM, Portkey, LiteLLM, OpenRouter. The pitch is reliability, failover, cost, analytics. They are headless: you get an API, you bring your own interface. Great for shipping code, nothing to actually use without... - Source: dev.to / 5 months ago
Tracking Runyard.dev since Mar 2026.
When comparing Portkey 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 Portkey 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 Portkey or Runyard.dev:

Open-source LLM Observability for Developers
Compare Helicone AI to Portkey 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 Portkey or Runyard.dev: