Portkey
One gateway to route and observe every LLM.
★★★★★ 4.5 1,200 saves Starting price: $16 per month
Tool information
Portkey is an AI gateway for routing, load-balancing and observing LLM requests across 100+ providers, with fallbacks, caching and guardrails. One API key unlocks every major model.
Teams use Portkey to cut costs, add reliability with automatic retries and monitor all model traffic from a single dashboard.
In-depth review
One gateway to route and observe every LLM. Portkey competes in the AI Model Training category, where our editors have reviewed 294 tools so far. It has been bookmarked by 1,200 readers, making it one of the most discussed options in its class. This in-depth review breaks down exactly where Portkey shines, where it falls short, and who should choose it.
In real-world use, Portkey's clearest strengths are 100+ models, one API; Fallbacks and retries; Caching cuts costs. These advantages matter most for Routing model traffic|Adding fallbacks|Caching responses|Monitoring spend|Enforcing guardrails — the exact workload Portkey was designed around. Readers who prioritise these qualities consistently rank it among their favourites in AI Model Training.
No tool is perfect — before you commit, weigh Adds architectural layer; Learning curve for configs. Portkey pricing starts at $16 per month. Always confirm the latest plans on the official website, because prices change often. Because you can evaluate the full experience free of charge, Portkey is a low-risk tool to try this week. Portkey is a solid, well-reviewed choice in AI Model Training and deserves a place on your shortlist.
How Portkey compares
Portkey is rated 4.5 out of 5, below the AI Model Training category average of 4.5 across 294 rated tools. Its closest alternatives are Entry Point AI, Roboflow, Labelbox. Popular alternatives include Entry Point AI, Roboflow, Labelbox. Compare their pricing, ratings, and reviews before you decide.
Applicable tasks
Pricing
Portkey pricing starts at $16 per month. Always confirm the latest plans on the official website, because prices change often.
Frequently asked questions
10 editor-written answers about Portkey.
Which providers does Portkey support?
Portkey integrates with 100+ LLM providers including OpenAI, Anthropic, Google, Mistral and Azure behind one unified API.
What is Portkey?
One gateway to route and observe every LLM.
Is Portkey free?
Yes — Portkey offers free access ($16 per month). Paid plans unlock higher limits and extra features.
How much does Portkey cost?
Portkey pricing starts at $16 per month. Always confirm the latest plans on the official website, because prices change often.
How do I start using Portkey?
Open the official website with the Visit Tool button on this page, create an account, and follow the onboarding steps. Most people are up and running within minutes.
What can I use Portkey for?
Portkey is commonly used for Routing model traffic|Adding fallbacks|Caching responses|Monitoring spend|Enforcing guardrails.
What are the main advantages of Portkey?
Users most often highlight 100+ models, one API; Fallbacks and retries; Caching cuts costs.
Are there any downsides to Portkey?
Keep in mind: Adds architectural layer; Learning curve for configs. Weigh these against your budget and needs.
Who is Portkey best for?
Portkey suits anyone working with AI Model Training — from beginners trying AI for the first time to professionals who rely on it every day.
Can I try Portkey before paying?
Yes — you can try Portkey free of charge ($16 per month) before deciding on a paid plan.
What are good alternatives to Portkey?
Popular alternatives include Entry Point AI, Roboflow, Labelbox. Compare their pricing, ratings, and reviews before you decide.
Pros and cons
Portkey is a solid, well-reviewed choice in AI Model Training and deserves a place on your shortlist.
Portkey is rated 4.5 out of 5, below the AI Model Training category average of 4.5 across 294 rated tools. Its closest alternatives are Entry Point AI, Roboflow, Labelbox.
Pros
- 100+ models, one API
- Fallbacks and retries
- Caching cuts costs
Cons
- Adds architectural layer
- Learning curve for configs
Reviews
Rating summary
Editor score★★★★★ 4.5/5
Visitor score☆☆☆☆☆ —/5 (0 reviews)
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Combined ToolScore4.5/5
ToolScore blends 70% editor score with 30% visitor score once visitors have rated.
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