# Cursor vs LLM Gateway

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. LLM Gateway records 168,426 monthly visits with -14.5% growth and Freemium, Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [LLM Gateway](https://openaitools.app/tool/llm-gateway) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://llmgateway.io |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI API, AI Developer Tools, Large Language Models (LLMs), AI Models |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 23,297,751 | 168,426 |
| MoM Growth Rate | +8.4% | -14.5% |
| Primary Market | United States | South Korea |
| Direct Visits | 14,683,770 | 98,622 |
| Review Score | 4.7 | 4.6 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

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

## 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)

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while LLM Gateway has 168,426. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; LLM Gateway has -14.5%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. 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.

## 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 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 8 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 9 | [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) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |

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

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