# Openlayer vs Portkey

Openlayer records 48,415 monthly visits with -6.4% month-over-month growth and Freemium, Contact for Pricing pricing. Portkey records 195,650 monthly visits with -9.4% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Openlayer](https://openaitools.app/tool/openlayer) | [Portkey](https://openaitools.app/tool/portkey-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.openlayer.com | https://portkey.ai |
| Categories | AI Testing, AI Monitor, Large Language Models (LLMs), AI Developer Tools | AI Developer Tools, AI API, Prompt Engineering, AI Agent |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 48,415 | 195,650 |
| MoM Growth Rate | -6.4% | -9.4% |
| Primary Market | United States | United States |
| Direct Visits | 25,940 | 121,152 |
| Review Score | 4.4 | 4.7 |
| Saved Count | 1 | 1 |
| Supported Platforms | Website | Website |

## Openlayer

Modern companies run dozens of AI systems across business units — copilots, agents, models, and internal tools — but few can list them all, fewer can test them systematically, and almost none can prove to a regulator what any given system did last week. Openlayer was built to close that gap. It organizes AI control into layers that each deliver value on their own: discovery and org-wide inventory with shadow-AI detection, a registration and risk-tiering registry, pre-release evaluation suites, production observability and tracing, security guardrails, compliance mapping, and cost controls.

On the testing side, Openlayer ships a large library of ready-made evaluations covering quality, security, performance, and safety dimensions, including LLM-as-a-judge scorers and session-level metrics. Teams can write custom tests, wire them into CI/CD so regressions block a release, and inspect traces with per-request cost and latency breakdowns when something goes wrong. In production the same tests run on a schedule or in response to live traffic, with alerting integrations and subpopulation analysis that surfaces whether a problem is concentrated in one user segment.

Governance is where Openlayer differentiates most clearly. Systems are registered with an owner, purpose, data sensitivity, and lifecycle stage, and tracked through intake, development, staging, production, and retirement gates. Compliance frameworks such as the EU AI Act and risk models like NIST AI RMF are mapped so policies become checklists with progress tracking, and Enterprise customers can generate evidence packs and deploy on-premise or in air-gapped environments. The result is a platform that spans engineering, security, and compliance workflows rather than serving only one of them.

**Pricing & Plans:** Openlayer offers a free Basic plan covering one member, five projects, 20,000 monthly requests, three months of data retention, the AI test library, CI/CD integration, observability, alerting, and community support. The Enterprise plan is custom-quoted and adds unlimited members and projects, role-based access control, SAML SSO, explainability, data annotation, custom retention, on-premise deployment, compliance reporting, a 99.99% SLA, and white-glove onboarding.

- **AI test library and custom evals:** Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
- **CI/CD regression testing:** Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
- **Observability, tracing, and cost analytics:** Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
- **Governance registry and lifecycle gates:** Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
- **Compliance mapping and audit evidence:** Built-in frameworks such as the EU AI Act and NIST AI RMF turn policy into tracked rules, so you can see progress per project and export the evidence regulators and auditors ask for.

**Strengths:** Covers the full loop from pre-release testing to production monitoring and governance in one platform; Strong compliance and risk-mapping capability built for regulated industries; Generous free Basic plan makes evaluation tooling accessible to small teams; CI/CD integration lets quality gates block releases automatically

**Limitations:** Enterprise pricing is custom-quoted, so costs are not transparent up front; Compliance reporting and the deepest governance features sit behind the Enterprise plan; The breadth of layers can be a lot to adopt at once for teams that only need basic evals; Small free plan limits (one member, five projects) make it a try-it tier rather than a team plan

[Profile (Markdown)](https://openaitools.app/tool/openlayer.md)

## Portkey

Portkey sits between your application and the model providers, acting as a control plane for AI traffic. A single unified API gives access to a large catalogue of LLMs, with automatic fallbacks, load balancing, retries and timeouts handled at the gateway layer, so switching or adding a provider does not require rewiring application code. Virtual keys with budgeting and rate limits let teams share provider credentials without exposing raw secrets.

On top of routing, Portkey layers observability and governance. Logs, traces, feedback, custom metadata and filters make it possible to see how models behave in production, while caching reduces spend on repeated prompts. Guardrails, evaluation templates and prompt versioning keep outputs and changes under control, and enterprise deployments add SSO, role-based access control, private cloud or VPC hosting and compliance coverage such as SOC 2, ISO 27001, GDPR and HIPAA.

Portkey is available as a hosted service, a self-hostable open-source gateway and an enterprise deployment. Public pricing starts with a free developer tier, a production plan at $49 per month and custom enterprise pricing; the platform has since been positioned as the PRISMA AIRS AI Gateway for enterprise customers.

**Pricing & Plans:** Free developer tier for prototyping with 10k recorded logs per month and 3-day log retention; Production at $49/month with 100k logs and overage billing; Enterprise with custom pricing, private cloud or VPC deployment and advanced compliance. An open-source gateway can also be self-hosted.

- **Unified LLM gateway:** One API across a large model catalogue with automatic fallbacks, load balancing, retries and request timeouts.
- **Observability and traces:** Logs, traces, feedback, custom metadata and filters reveal how models behave in production.
- **Guardrails and evaluations:** Apply input and output guardrails plus evaluation templates to keep AI responses within policy.
- **Prompt management:** Version, template and test prompts with a playground and API endpoints instead of hard-coding them.
- **Caching and cost control:** Simple and semantic caching plus virtual keys with budgets cut redundant calls and keep spend predictable.

**Strengths:** One integration covers many model providers and reduces vendor lock-in; Observability, guardrails and prompt management live in a single control plane; Free developer tier makes evaluation easy before committing; Open-source gateway option and enterprise deployment choices for strict compliance needs

**Limitations:** The breadth of features means a meaningful setup and learning curve; Log retention and overage limits on lower tiers may be tight for high-volume teams; Advanced governance and deployment options require contacting sales

[Profile (Markdown)](https://openaitools.app/tool/portkey-ai.md)

## Frequently Asked Questions

### How do Openlayer and Portkey compare in monthly traffic?

Openlayer has 48,415 monthly visits, while Portkey has 195,650. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Openlayer has a month-over-month growth rate of -6.4%; Portkey has -9.4%.

### How does pricing compare?

Openlayer: Freemium, Contact for Pricing. Openlayer offers a free Basic plan covering one member, five projects, 20,000 monthly requests, three months of data retention, the AI test library, CI/CD integration, observability, alerting, and community support. The Enterprise plan is custom-quoted and adds unlimited members and projects, role-based access control, SAML SSO, explainability, data annotation, custom retention, on-premise deployment, compliance reporting, a 99.99% SLA, and white-glove onboarding. Portkey: Freemium, Paid, Contact for Pricing. Free developer tier for prototyping with 10k recorded logs per month and 3-day log retention; Production at $49/month with 100k logs and overage billing; Enterprise with custom pricing, private cloud or VPC deployment and advanced compliance. An open-source gateway can also be self-hosted.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Delivers direct native access to frontier OpenAI models, but restricts routing and observability to OpenAI only. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Offers an extensive multi-model API marketplace with simple billing, but lacks Portkey's advanced enterprise guardrails. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 3 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Delivers adaptive LLM routing and automatic failover, but lacks some of Portkey's extensive prompt management features. | [.md](https://openaitools.app/tool/orcarouter.md) |
| 4 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | Provides a robust open-source proxy and SDK for 100+ models, but requires self-hosting and management. | [.md](https://openaitools.app/tool/litellm.md) |
| 5 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Aggregates over 100 frontier models with analytics and failover, but lacks Portkey's granular enterprise guardrail controls. | [.md](https://openaitools.app/tool/zenmux.md) |
| 6 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 7 | [AiHubMix](https://openaitools.app/tool/aihubmix) | 238,455 | -16.1% | Contact for Pricing | Provides a unified OpenAI-compatible endpoint for hundreds of models, but lacks advanced prompt management workflows. | [.md](https://openaitools.app/tool/aihubmix.md) |
| 8 | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | 168,426 | -14.5% | Freemium, Contact for Pricing | Unifies multi-provider model access with open-source flexibility, but lacks turnkey enterprise support and advanced analytics. | [.md](https://openaitools.app/tool/llm-gateway.md) |
| 9 | [Mindgard](https://openaitools.app/tool/mindgard) | 153,455 | +1.3% | Contact for Pricing | Attack-led AI security testing and red teaming | [.md](https://openaitools.app/tool/mindgard.md) |
| 10 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |

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Source: https://openaitools.app/compare/openlayer-vs-portkey-ai

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)