SwitchGate AI vs Portkey (2026)
Portkey is an AI gateway aimed at observability and enterprise controls; SwitchGate is a governed multi-model gateway with usage-based pricing. Here's how they differ.
Last updated August 12, 2026 · figures are launch placeholders and public positioning; verify with each vendor.
Side by side
SwitchGate vs Portkey at a glance
Both sit between your app and the model providers. Portkey leans into observability tooling and enterprise deployment options; SwitchGate leans into spend governance with simple pay-as-you-go pricing.
| Feature | SwitchGate AI | Portkey |
|---|---|---|
| Multi-provider model catalog | ✓ | ✓ |
| OpenAI-compatible API | ✓ | ✓ |
| Top-up / platform fee | 4.9% · $0.50 min | Seat & request based* |
| Paid credits expire | Never | — |
| Per-user budgets & model locks | ✓ | Via configs* |
| Assign API keys to named users | ✓ | Workspaces* |
| Runaway-agent kill switch | ✓ | Rate limits* |
| Burnable prepaid keys | ✓ | — |
| Your own model via device agent | ✓ | Self-host gateway* |
| Zero-credit semantic cache hits | ✓ | Cache add-on* |
| French-aware routing | ✓ | — |
| Canadian hosting (Loi 25) | ✓ | — |
* Competitor columns summarize public positioning as of Aug 2026 and simplify heavily; plans and features change often, so verify on Portkey's own site before deciding. SwitchGate figures are launch placeholders.
The honest version
Where Portkey shines
Portkey has built a serious platform around observability: request logs, evals, prompt management and guardrail hooks, with self-hosted deployment for enterprises that must run the gateway inside their own perimeter. If your priority is deep LLMOps tooling attached to the gateway itself and you have platform engineers to run it, Portkey is a strong fit.
Where SwitchGate shines
- Simpler pricing. No seats, no request tiers: provider list price pass-through plus a 4.9% top-up fee, and credits that never expire.
- Spend control as the product. Per-user budgets enforced before tokens are bought, burnable prepaid keys for contractors and classrooms, and a kill switch that stops looping agents mid-flight.
- Keys mapped to people out of the box. Assign keys to named users without building a workspace hierarchy first, and get per-person cost straight from the ledger.
- Local models without self-hosting the gateway. The SwitchGate Agent bridges your local Ollama or vLLM into the hosted gateway, so you get on-prem inference behind cloud governance without operating gateway infrastructure.
- Zero-credit cache hits under token economy mode: repeated prompts stop costing money entirely.
Which should you pick?
Pick Portkey if you want an LLMOps suite and are prepared to configure and possibly host it. Pick SwitchGate if you want governed routing that works in an afternoon: one endpoint, budgets and locks per person, and a bill you can predict.
Looking for a Portkey alternative?
Teams hunting for a Portkey alternative usually cite one of two things: pricing complexity, or wanting spend control without operating an LLMOps platform. SwitchGate answers both with radically simple economics — provider list price plus a 4.9% top-up fee, no seats, no request tiers — and governance that works out of the box: per-user budgets, model locks, burnable prepaid keys and one exact-cost ledger. You keep on-prem inference through the device agent without self-hosting the gateway itself. If your priority is deep observability tooling, Portkey remains the stronger fit; if it's a governed bill that a finance team can read, start here.
Switching takes one line
Both platforms speak the OpenAI API, so migrating is a base_url change: point your SDK at https://api.switchgate.ai/v1, keep your prompts and model IDs, and your budgets, locks and cost ledger start working on request one. Read the quickstart →
FAQ
SwitchGate vs Portkey: common questions
What's the main difference between SwitchGate and Portkey?
Does SwitchGate support guardrails like Portkey?
Can SwitchGate run on-premises like Portkey's self-hosted gateway?
Which is cheaper for a small team?
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