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

liteLLM
Claude AI
Merlin Unified API
OpenAI
OpenRouter
Respan
ZenMux
Live LLM API Cost Simulator, SaaS Margin Stress-Tester & Router Generator

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.
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| Website | portkey.ai | tokenmargin.dev |
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What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
Walkthroughs and reviews on video.
PortKeys LH5H Review - High Brightness 5.2" Touchscreen Monitor with camera control
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Portkey and TokenMargin.dev.
TokenMargin.dev's answer:
TokenMargin is the only live AI FinOps simulator that combines real-time multi-provider API pricing (471+ commercial and open-weight models across 232 inference providers) with B2B SaaS gross margin stress-testing and 1-click LiteLLM / OpenRouter routing config generation. Unlike static token calculators, it models prompt caching hit rates (0–95%), multi-turn conversation bloat, UTC off-peak batch discounts, and 95th-percentile power-user seat risk automatically.
TokenMargin.dev's answer:
Most observability and gateway tools (like Helicone, Portkey, or OpenRouter) only show your LLM spend after you have already integrated their proxy and burned production budget. TokenMargin requires zero signup or SDK integration to simulate your exact monthly API bill, find the cheapest inference host for open-weight models (DeepSeek, Llama, Qwen), stress-test your SaaS seat pricing against P95 power users, and export a production-ready litellm_config.yaml or OpenRouter fallback JSON in one click.
TokenMargin.dev's answer:
B2B AI SaaS founders, CTOs, FinOps leads, and backend AI/LLM engineers who are building production applications on OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Meta Llama, and Qwen, and need to protect their SaaS gross margins while routing traffic across multiple inference providers.
TokenMargin.dev's answer:
We built TokenMargin after watching AI SaaS startups price their seats at $20–$49/month based on average single-turn token math, only to have 95th-percentile power users and 15-turn context windows quietly push their gross margins negative. We wanted a zero-friction, always-updated FinOps command center where developers could stress-test their unit economics against live API pricing and generate automated hybrid routing configs in seconds.
TokenMargin.dev's answer:
TokenMargin is built with React 18, Vite, Tailwind CSS, and Node.js ES modules, deployed globally on Cloudflare Workers Edge, and powered by an autonomous 6-hour data pipeline that syncs live pricing, context windows, and endpoint deprecations across OpenRouter, Models.dev, and LiteLLM.
TokenMargin.dev's answer:
Share your experience with using Portkey and TokenMargin.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 / 16 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 / 30 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 TokenMargin.dev since Oct 2026.
When comparing Portkey and TokenMargin.dev, you can also consider the following products.



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Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
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