Portkey / Prisma AIRS
A control point for many AI providers and applications.
It gives teams a universal API plus routing, logs, traces, budgets, guardrails, fallbacks and operational controls.
Portkey AI alternative · comparison updated September 2026
Portkey helps platform teams control model traffic across providers. Omev takes a defined, repeated business task and runs it on its own models. One governs the road. The other delivers the load.
$5 free credit · 10 days · no card
By Di Reshtei, Co-founder of Omev AI · X
Portkey sources checked
Important current context: Portkey is now part of Palo Alto Networks.
Read the acquisition announcement ↗Quick answer
Yes—for one defined workload. No—as a replacement for your company-wide AI control layer. Choose Omev when you need to produce a large volume of work that follows the same rules. Choose Portkey or Prisma AIRS when you need to control, secure and observe model calls across your company.
Portkey / Prisma AIRS
It gives teams a universal API plus routing, logs, traces, budgets, guardrails, fallbacks and operational controls.
Omev AI
It learns the task rules, routes between Omev's own models and checks the output before it returns to your workflow.

You need shared routing, observability, guardrails and provider control across many AI products.
You need one repeated task to follow client rules and stay economical as its volume grows.
Keep the gateway as your control layer and let Omev handle a workload after it earns the route.
This is not a feature-count contest. It shows which layer each product takes responsibility for, using Portkey's published documentation and Omev's current offer.
| Decision | Omev AI | Portkey / Prisma AIRS |
|---|---|---|
| What you are buying | A direct API for repeatable business work, served by Omev's own models. | An AI gateway and control layer for model calls across providers, applications and agents. |
| The main job | Turn a known brief into an output that follows your client rules, format and acceptance criteria. | Connect, route, observe and govern the model traffic your products already generate. |
| Model choice | Omev routes tasks between its own models. You buy the result rather than a broad third-party model catalogue. | A universal API across hundreds of third-party models, plus custom and privately hosted endpoints. |
| Routing purpose | Choose the right internal model and workflow for the task, then check whether the output meets the agreed rules. | Apply provider fallbacks, conditional routes, retries, load balancing, canary tests, limits and caching. |
| Observability | Workload outcomes and economics are the focus. Omev is not a replacement for an enterprise-wide LLM telemetry layer. | Request logs, traces, analytics, feedback, metadata, filters, budgets and OpenTelemetry-based visibility. |
| Guardrails and security | Task-specific rules and validation are configured around the workload. It is not a company-wide security gateway. | Central guardrails, access controls, rate limits and enterprise deployment options are core parts of the offer. |
| Who operates what | Omev operates the models, task routing and configured checks. Your team owns integration and final approval. | Your team defines the providers, prompts, policies and routes; Portkey or Prisma AIRS provides the control plane. |
| How cost is measured | Published usage rates include Omev inference. Judge the pilot by cost per accepted output and review time. | Platform pricing is based on recorded logs or enterprise scope, while provider usage and operating work remain separate. |
| Best fit | A high-volume, repeatable workload with examples, rules and a clear pass line. | A platform or security team that needs one governed control point across a broad AI estate. |
Portkey pricing vs Omev pricing
Portkey's public pricing counts recorded logs and platform features. Omev's published rates include its own model inference. In both cases, the useful number is the total cost of a result your team can accept.
Omev AI
Published Portkey pricing
Those Portkey figures came from the public pricing page on September 21, 2026. The purchase path is changing as the product becomes part of Prisma AIRS, so verify the current commercial terms before budgeting.
Decision guide
Choose Portkey or Prisma AIRS when you need one control layer across your AI stack. Choose Omev when you want one repeated business job handled for you.
If you searched for a Portkey alternative because you want another enterprise AI gateway, compare gateway vendors. If you searched because one expensive workflow still sits on top of that gateway, benchmark the workflow itself.
A practical combined setup
There is no reason to replace a useful gateway just to test a better way to run one workload. Keep the control plane, send a representative sample to Omev and move only what passes.
Company-wide AI traffic
Provider access, security policy, audit trails, budgets, observability and broad fallback logic.
A named repeated workload
The content, catalogue, localization or similar job with examples, client rules and a measurable approval standard.
The gateway controls the traffic. The workload API must prove the result.
Registration is open to everyone. Start with one sample, keep the current route available and make the production decision from real approvals.
Choose repeated work with a clear business owner.
Use inputs and outputs your team has already approved.
Define facts, voice, format and the checks that matter.
Leave Portkey connected while Omev processes the sample.
Measure accepted output, review time and total cost.
Portkey in 2026
Palo Alto Networks completed its acquisition of Portkey on May 29, 2026. Prisma AIRS AI Gateway became generally available on July 16, 2026. Portkey's documentation now points visitors to Prisma AIRS, while its public docs and pricing remain available.
AI gateway products change quickly. We checked Portkey's official documentation, pricing, repository and Palo Alto Networks announcements on September 21, 2026. Verify the current product and commercial terms before making a production decision.
Yes for a defined business workload that you want Omev to run. No as a drop-in replacement for Portkey's AI gateway, observability or enterprise guardrails. The products solve different layers of the stack.
Portkey provides a universal API and an AI gateway for routing calls across model providers. Its published product also includes observability, retries, fallbacks, caching, budget controls, prompt management and guardrails.
Yes. Palo Alto Networks completed its acquisition of Portkey in May 2026, and Prisma AIRS AI Gateway became generally available in July 2026. Public Portkey documentation and pricing pages were still available when this comparison was checked.
The public pricing page checked in September 2026 lists a free Developer plan for testing, a $49 per month Production plan with 100,000 recorded logs and $9 per additional 100,000 requests, and custom Enterprise pricing. Model-provider charges remain separate.
Its AI gateway is available as an MIT-licensed open-source project. Portkey's managed control panel, observability, guardrails and enterprise features are a broader commercial product.
Architecturally, yes. A company can keep Portkey or Prisma AIRS as its central gateway and security layer while calling Omev for one approved workload. Confirm the exact integration and logging requirements during your pilot.
There is no honest one-number answer. Portkey adds gateway pricing, provider bills and the work of running prompts and policies. Omev includes its own model inference in published usage rates. Compare total cost per accepted output for the task you actually run.
No. Omev applies rules and checks to the workload it runs, but it is not an enterprise-wide observability or AI security platform. Keep a gateway product when centralized telemetry, access control or security policy is a requirement.
Choose one repeated task, share representative examples and define the pass line. Run the Omev route beside your current Portkey setup, then compare accepted output, review time and total cost before moving any production traffic.
$5 of credit for 10 days, with no card required. Keep your current gateway connected while you test one representative workload.
Bring a repeated task, real samples and the rules your team uses to approve the work. Move nothing until the output and economics make sense.
Benchmark one workload →$5 free credit · 10 days · no card