# LLM Gateway vs VS Code

LLM Gateway records 168,426 monthly visits with -14.5% month-over-month growth and Freemium, Contact for Pricing pricing. VS Code records 7,397,370 monthly visits with -3.8% growth and Freemium pricing.

| Metric | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | [VS Code](https://openaitools.app/tool/vs-code) |
| :--- | :--- | :--- |
| Website URL | https://llmgateway.io | https://code.visualstudio.com |
| Categories | AI API, AI Developer Tools, Large Language Models (LLMs), AI Models | AI Code Assistant, AI Agent, AI Developer Tools, AI Copilot |
| Pricing Model | Freemium, Contact for Pricing | Freemium |
| Monthly Visits | 168,426 | 7,397,370 |
| MoM Growth Rate | -14.5% | -3.8% |
| Primary Market | South Korea | United States |
| Direct Visits | 98,622 | 2,171,461 |
| Review Score | 4.6 | 4.8 |
| 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)

## VS Code

VS Code has grown from a lightweight code editor into a full development surface that spans hand-written code and delegated agent work. The core promise is unchanged: rich language support, precise navigation, an integrated debugger and terminal, and a source control view that keeps you in flow. What is new is the AI layer on top. Agents understand your codebase, work through a plan with you, apply changes across files, and present results for review rather than silently rewriting your project. A dedicated Agents window coordinates several agents running in parallel so you can move a backlog forward while you work on something else.

Under the hood, VS Code is deliberately open about how you build with AI. You are not locked to one vendor: you can choose models from Anthropic, OpenAI, Google or Microsoft, use open-weight models, or bring your own API key from another provider. You also choose the agent harness, whether that is Copilot, Claude or Codex. Model Context Protocol servers and the MCP registry extend what agents can reach, while custom agents, skills, instructions and hooks let teams encode their own conventions. Permissions, approvals and agent sandboxing give you control over what an agent is allowed to run.

Because AI features such as inline suggestions, chat and agent sessions are delivered through a GitHub Copilot subscription, the practical cost depends on your plan and how heavily you use agents. The editor, extensions, remote development support, terminal, debugging and Git integration remain free. With thousands of Marketplace extensions, accessibility features like screen reader support and high contrast themes, and a long track record of open development on GitHub, VS Code suits solo developers, small teams and large enterprises alike.

**Pricing & Plans:** VS Code itself is free and open source on all supported platforms. The built-in AI features — inline suggestions, chat and agent sessions — are delivered through a GitHub Copilot subscription: a limited free tier for occasional use, plus paid individual and business plans for higher usage, premium models and team controls. Marketplace extensions are mostly free, though some add their own paid tiers.

- **Agent collaboration and orchestration:** Agents open the repository, form a plan, edit multiple files and explain the changes so you can review each diff before accepting it. You can also run several agents in parallel to push a backlog forward.
- **Model and harness choice:** Point the editor at Anthropic, OpenAI, Google, Microsoft or open-weight models, or bring your own key. Pick the Copilot, Claude or Codex harness that matches how you like to work.
- **Deep language support:** JavaScript, TypeScript, HTML and CSS work out of the box, and Marketplace extensions add IntelliSense, linting, refactoring and debuggers for Python, Java, C++, Go, Rust and more.
- **Full development workflow:** Integrated terminal, source control, debugger, testing, Jupyter notebooks, an integrated browser and Dev Containers all live in one window, so you stay close to the code.
- **Continuity across surfaces:** Start a task locally, answer an agent's question from GitHub Mobile, redirect it in the Copilot CLI and let teammates review the pull request on GitHub.com. Settings Sync keeps everything aligned.
- **Open, extensible and everywhere:** Run the editor on Windows, macOS or Linux, in the browser at vscode.dev, inside a container, over SSH or WSL, and reach agents on your machine through Dev Tunnels.

**Strengths:** Free, open-source editor with a mature extension ecosystem and years of active development; AI agents work directly on your real codebase with plans, diffs and reviewable changes; Freedom to mix models from Anthropic, OpenAI, Google, Microsoft or open-weight providers, and to pick the Copilot, Claude or Codex harness; One setup covers local development, containers, SSH, WSL, remote tunnels and browser-based editing

**Limitations:** AI agent and chat features require a paid GitHub Copilot plan, and heavier agent workflows consume premium request quotas quickly; The full agent feature set spans VS Code, the Copilot CLI, GitHub Mobile and GitHub.com, which can feel fragmented while the ecosystem matures; Extensions run with editor privileges, so a poorly maintained or malicious add-on can pose a supply-chain risk; Large workspaces with many extensions and language servers can get memory-hungry and slow on modest hardware

[Profile (Markdown)](https://openaitools.app/tool/vs-code.md)

## Frequently Asked Questions

### How do LLM Gateway and VS Code compare in monthly traffic?

LLM Gateway has 168,426 monthly visits, while VS Code has 7,397,370. 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%; VS Code has -3.8%.

### 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. VS Code: Freemium. VS Code itself is free and open source on all supported platforms. The built-in AI features — inline suggestions, chat and agent sessions — are delivered through a GitHub Copilot subscription: a limited free tier for occasional use, plus paid individual and business plans for higher usage, premium models and team controls. Marketplace extensions are mostly free, though some add their own paid tiers.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | AI-native code editor built on VS Code fork with deep multi-file editing and intelligent codebase indexing. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [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) |
| 3 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Agentic development platform offering an IDE and command center for running parallel AI coding agents. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 4 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Cloud-based development environment featuring an AI agent that builds, runs, and deploys full-stack applications instantly. | [.md](https://openaitools.app/tool/replit.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Agentic coding platform and IDE plugin that reads entire codebases to plan and complete multi-file tasks. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Spec-driven AI IDE and agent platform from AWS that plans, builds, reviews, and verifies engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Autonomous AI software engineer that independently plans, writes, and tests code across entire repositories. | [.md](https://openaitools.app/tool/devin.md) |
| 8 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | Lightweight, customizable terminal coding agent supporting multiple model providers and extensible packages. | [.md](https://openaitools.app/tool/pi-coding-agent.md) |
| 9 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Open-source workspace control plane for orchestrating multiple coding agents from a single unified interface. | [.md](https://openaitools.app/tool/t3-code.md) |
| 10 | [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) |

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

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