# LLM Gateway vs Postman

LLM Gateway records 168,426 monthly visits with -14.5% month-over-month growth and Freemium, Contact for Pricing pricing. Postman records 1,764,877 monthly visits with -7.6% growth and Freemium pricing.

| Metric | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | [Postman](https://openaitools.app/tool/postman) |
| :--- | :--- | :--- |
| Website URL | https://llmgateway.io | https://www.postman.com |
| Categories | AI API, AI Developer Tools, Large Language Models (LLMs), AI Models | AI Developer Tools, AI API, AI Agent, AI Workflow |
| Pricing Model | Freemium, Contact for Pricing | Freemium |
| Monthly Visits | 168,426 | 1,764,877 |
| MoM Growth Rate | -14.5% | -7.6% |
| Primary Market | South Korea | India |
| Direct Visits | 98,622 | 580,232 |
| Review Score | 4.6 | 4.7 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## LLM Gateway

The core problem LLM Gateway solves is provider sprawl: separate API keys, separate dashboards, and code that breaks whenever you switch models. With the gateway in place, a single request can be routed to 250+ models across 40+ providers, and switching a model is often a one-string change. It ships with an AI SDK provider plus compatibility with any OpenAI SDK, cURL or language client, and supports chat completions, responses and image generation endpoints.

Beyond routing, the gateway is a control plane. Teams get unified key management, spend caps per API key or member, automatic failover that retries on another provider within the same request when a provider errors or rate-limits, and guardrails such as prompt-injection detection and PII redaction so sensitive data can be caught before a provider sees it. A dashboard covers requests, tokens, cost per 1K tokens, latency, error rates, cache hit rates and per-model/per-provider breakdowns, with audit logs and SSO on Enterprise.

Deployment is flexible: it can be run by the vendor as managed cloud with an SLA, or self-hosted via Docker or Kubernetes on your own infrastructure, which is what makes it attractive to privacy-sensitive teams. The core gateway is open source under AGPLv3, with source-available enterprise features. The company reports SOC 2 Type II compliance, and pricing starts with a bring-your-own-keys free tier, a small markup on credit top-ups for pay-as-you-go usage, and a custom Enterprise plan.

**Pricing & Plans:** LLM Gateway is freemium. Routing and analytics on your own provider keys are free forever with no credit card, pay-as-you-go credits are billed at provider list prices with a small top-up markup, the open-source core can be self-hosted at no cost, and Enterprise adds SSO, audit logs, guardrails, a 99.9% SLA and provider policy controls under a custom quote.

- **Unified OpenAI-compatible API:** Keep your existing OpenAI SDK code and change only the base URL to reach 250+ models from 40+ providers through one integration.
- **Automatic failover and routing:** If a provider errors, times out or rate-limits, the gateway can retry up to twice on another provider within the same request, so your app still gets a response.
- **Cost, latency and spend analytics:** Track requests, tokens, total spend and average cost per 1K tokens, plus per-model and per-provider breakdowns, cache hit rates and error monitoring.
- **Guardrails and key security:** Detect prompt injection, jailbreak attempts, PII, card numbers and secrets, then block, redact or warn; manage all provider keys in one scoped dashboard.
- **Self-hosted or managed deployment:** Run the AGPLv3 open-source gateway on your own Docker or Kubernetes infrastructure, or let the vendor host it as managed cloud with an SLA.

**Strengths:** One API key and one integration replace a pile of provider SDKs and dashboards; Open-source core under AGPLv3 with a genuine self-hosting path, not just a hosted SaaS; Depth of observability: cost, tokens, latency, errors, cache hits and per-project breakdowns; Built-in failover and spend caps live in the gateway rather than in application code

**Limitations:** The most valuable governance features — guardrails, SSO, audit logs and provider policy routing — are Enterprise-only; Pay-as-you-go credits carry a small markup over provider list prices, so high-volume users may prefer their own keys; A gateway adds an extra hop and a component to operate, which is overkill for teams using a single model

[Profile (Markdown)](https://openaitools.app/tool/llm-gateway.md)

## Postman

Postman began as a simple HTTP client and has grown into a platform that teams use across the entire API lifecycle. Requests live in collections, collections are organized into workspaces, and environments hold the variables that differ between local, staging, and production. From there, teams generate specs from requests or requests from specs, publish mock servers before an API exists, and use native Git support plus a CLI to keep API definitions in version control.

Testing and monitoring are first-class: the Collection Runner executes suites with data files and exports results, performance testing simulates load locally or from the cloud, and monitors poll live endpoints for uptime and drift. Documentation can be generated and custom-branded, and a shared package library and vault help teams reuse logic and manage secrets.

The newest direction is agentic. Agent Mode, the Postman CLI with installable agent skills, and a Model Context Protocol server let AI coding assistants operate Postman directly. A Context Graph gives those agents a structured map of APIs, collections, and relationships, while Passport lets callers — including agents — invoke approved APIs through a proxy without ever holding the secret. Around the core product, Postman also offers Fabric for AI traffic governance, Fern for docs and SDK generation, and Astropods for running agents in production. Postman reports being used by more than 50 million developers and 500,000 companies.

**Pricing & Plans:** Freemium. Free for individuals with 50 AI credits per month and core client tools. Solo around $9 per month billed annually (400 AI credits per month, data-driven testing, custom branding, expanded monitoring). Team around $19 per user per month billed annually (collaboration, viewer seats, basic RBAC, 400 AI credits per user). Enterprise is contact-sales and adds API Catalog, governance, advanced RBAC, audit logs, and pooled credits. AI credit overages and cloud performance testing are billed as usage add-ons.

- **API client and collections:** A multi-protocol client with collections, environments, variables, and reusable requests that works for local debugging and for driving automated test suites.
- **Automated testing and Collection Runner:** Generates assertions automatically, supports data-driven runs with exported datasets, and executes tests locally, in the cloud, or from CI pipelines via the Postman CLI.
- **AI agents and MCP server:** Agent Mode, the Postman CLI agent skills, and a Model Context Protocol server let coding assistants build collections, write tests, and trigger API workflows from inside the editor.
- **Context Graph:** A structured, queryable map of an organization's APIs, collections, and dependencies that lets agents find the right service and understand what a schema change would break.
- **Governance and enterprise controls:** API Catalog, Insights, RBAC with SSO/SAML and SCIM, secret scanning, and audit logs help large organizations standardize and secure API usage across teams.

**Strengths:** Covers the full API lifecycle in one tool instead of stitching together several products; Strong AI story with Agent Mode, installable agent skills, an MCP server, and a Context Graph; Free plan is genuinely usable and paid tiers are comparatively affordable; Very large community, extensive docs, and integrations across CI, Git, and identity providers

**Limitations:** The desktop app is resource-heavy and can feel slow on older machines; Many advanced capabilities (API Catalog, advanced RBAC, governance, SSO/SCIM) sit behind Enterprise pricing; AI credits and Context Graph API queries are metered, so heavy agent use adds pay-as-you-go cost; The breadth of features, workspaces, and roles means teams need onboarding time before they are productive

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

## Frequently Asked Questions

### How do LLM Gateway and Postman compare in monthly traffic?

LLM Gateway has 168,426 monthly visits, while Postman has 1,764,877. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

LLM Gateway has a month-over-month growth rate of -14.5%; Postman has -7.6%.

### How does pricing compare?

LLM Gateway: Freemium, Contact for Pricing. LLM Gateway is freemium. Routing and analytics on your own provider keys are free forever with no credit card, pay-as-you-go credits are billed at provider list prices with a small top-up markup, the open-source core can be self-hosted at no cost, and Enterprise adds SSO, audit logs, guardrails, a 99.9% SLA and provider policy controls under a custom quote. Postman: Freemium. Freemium. Free for individuals with 50 AI credits per month and core client tools. Solo around $9 per month billed annually (400 AI credits per month, data-driven testing, custom branding, expanded monitoring). Team around $19 per user per month billed annually (collaboration, viewer seats, basic RBAC, 400 AI credits per user). Enterprise is contact-sales and adds API Catalog, governance, advanced RBAC, audit logs, and pooled credits. AI credit overages and cloud performance testing are billed as usage add-ons.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Offers broader multi-provider model routing with instant top-ups, but lacks self-hosted deployment flexibility. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Integrates API testing and development directly inside your code editor, but lacks Postman's dedicated workspace collection management and documentation publishing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 3 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Excels at autonomous multi-file code generation and repository-wide understanding, but is not purpose-built for manual API endpoint testing. | [.md](https://openaitools.app/tool/qoder.md) |
| 4 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Powerful visual workflow automation and API integration builder, but lacks Postman's granular API request inspection and documentation features. | [.md](https://openaitools.app/tool/n8n.md) |
| 5 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Open-source control plane for orchestrating coding agents | [.md](https://openaitools.app/tool/t3-code.md) |
| 6 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Features adaptive LLM routing and automatic failover, but has a smaller ecosystem than established aggregators. | [.md](https://openaitools.app/tool/orcarouter.md) |
| 7 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | Automates end-to-end testing using plain language agents, but lacks Postman's manual debugging and environment variable management tools. | [.md](https://openaitools.app/tool/kaneai.md) |
| 8 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | Provides a robust open-source proxy and Python SDK for multi-LLM routing, but requires self-hosting infrastructure. | [.md](https://openaitools.app/tool/litellm.md) |
| 9 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Unifies access to 100+ frontier models with built-in chat UI, but offers fewer enterprise compliance integrations. | [.md](https://openaitools.app/tool/zenmux.md) |
| 10 | [Qase](https://openaitools.app/tool/qase) | 319,213 | -25.5% | Freemium, Free Trial, Contact for Pricing, Free | Offers superior test case management and CI integration for QA workflows, but lacks native API request crafting and mocking tools. | [.md](https://openaitools.app/tool/qase.md) |

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Source: https://openaitools.app/compare/llm-gateway-vs-postman

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