# Composio vs LiteLLM Composio records 2,782,603 monthly visits with +22.8% month-over-month growth and Freemium, Contact for Pricing pricing. LiteLLM records 576,967 monthly visits with +7.9% growth and Freemium, Contact for Pricing pricing. | Metric | [Composio](https://openaitools.app/tool/composio) | [LiteLLM](https://openaitools.app/tool/litellm) | | :--- | :--- | :--- | | Website URL | https://composio.dev | https://litellm.ai | | Categories | AI Developer Tools, AI Agent, Large Language Models (LLMs), AI API | AI API, Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | | Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing | | Monthly Visits | 2,782,603 | 576,967 | | MoM Growth Rate | +22.8% | +7.9% | | Primary Market | United States | United States | | Direct Visits | 1,238,943 | 228,967 | | Review Score | 4.5 | 4.8 | | Saved Count | 1 | 5 | | Supported Platforms | Website | Website | ## Composio Composio sits between your AI application and the outside world. Instead of hand-coding an integration for every SaaS product your agent needs, you pick from a large catalog of pre-built toolkits, and Composio handles the tedious parts: OAuth authorization, credential storage and refresh, per-action permission scopes, and execution. The same catalog powers both agent frameworks (via SDKs and function calling) and MCP-compatible clients such as Claude, ChatGPT, Codex, and Cursor, which can connect through a single managed MCP endpoint. The platform has expanded well beyond simple tool calling. Triggers let agents start background work in response to events in connected apps. Firewall inspects tool results and blocks hidden prompt-injection instructions before the model reads them. Instant tools provide audio, video, search, browser, and data capabilities without managing your own API keys, and optimization features aim to lower the cost per completed task. Enterprise controls add SSO, governance, and audit trail support. The product is aimed primarily at engineering teams building agents or agentic backends, and secondarily at knowledge workers who want Claude or ChatGPT to operate their everyday apps. It follows a freemium model with a free developer tier and paid tiers plus custom enterprise agreements, and the company states SOC 2 Type II compliance. **Pricing & Plans:** Freemium. A free developer tier is available for getting started, with paid plans and custom enterprise pricing for higher usage, team controls, and security requirements. Exact tier limits are published on Composio's pricing page; contact sales for enterprise terms. - **1,700+ app toolkits:** A large catalog of pre-built integrations spanning productivity, CRM, support, engineering, finance, HR, and e-commerce apps, each exposing callable actions to your agent. - **Managed authentication:** Composio runs OAuth flows, stores and refreshes credentials, and enforces per-action permission scopes so agents act only where you allow them. - **MCP gateway:** One managed MCP endpoint that connects Claude, ChatGPT, Codex, Cursor, and other MCP clients to your entire tool catalog in a few clicks. - **Triggers:** Start background agents from events occurring across connected apps, so work can begin without a user prompt. - **Firewall and enterprise governance:** Inspect tool outputs to block injected instructions, and add SSO, audit trails, and org-wide policy controls for regulated deployments. **Strengths:** Very large integration catalog, which removes most custom API glue work; Handles the hard parts of auth: OAuth, token refresh, and scoping; Works with both code-first SDK flows and no-code MCP clients; Safety features such as Firewall and enterprise governance are uncommon in this category **Limitations:** Deeper capability comes with a learning curve around toolkits, actions, and auth configs; Free tier limits are modest, so production use generally requires a paid plan; Behaviors and available toolkits change frequently, so docs must be checked often [Profile (Markdown)](https://openaitools.app/tool/composio.md) ## LiteLLM LiteLLM is an open-source AI gateway and Python SDK designed to remove vendor lock-in from LLM applications. The SDK lets you call models from OpenAI, Anthropic, Google Vertex AI, Bedrock, Mistral, Azure and dozens of other providers using the same OpenAI-style request format, so switching models is a configuration change rather than a code rewrite. The same project ships an AI Gateway (often called the proxy) that turns that abstraction into a shared service for an entire organization. That gateway is where most platform teams find the value. It issues virtual keys scoped by team, project or application, tracks spend per key against budgets, applies rate limits (TPM and RPM), and exposes dashboards for request volume, token usage and cost per model. Routing features include load balancing across deployments, automatic fallbacks when a provider fails, retries and budget-based rerouting, plus guardrails for PII masking, prompt-injection detection and secret detection. The project is genuinely open source with the code on GitHub (BerriAI/litellm) and a very active community. Enterprise features add SSO, audit logs, and support for agents and MCP servers through the same gateway. Notably, LiteLLM supports day-zero access to new models so teams can adopt them as soon as they ship, and it can also serve self-hosted, fine-tuned and internal models behind the same key. Companies cited on the site include NVIDIA, Netflix, Okta, Lemonade and AT&T. **Pricing & Plans:** Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team. - **OpenAI-compatible API for 100+ LLMs:** Call 100+ providers and 1,800+ models using one request format, so you can swap models without changing application code. - **Virtual keys, teams and budgets:** Issue scoped keys per team, project or app, set monthly spend caps and see exactly who is driving usage and cost. - **Routing, load balancing and fallbacks:** Distribute traffic across deployments, retry on failure and automatically fall back to another model or provider when one goes down. - **Observability and spend tracking:** Dashboards for request volume, tokens and cost per model, with support for logging and analytics integrations. - **Guardrails and policy controls:** Plug in PII masking, prompt-injection detection and secret-detection guardrails, and manage policies centrally instead of in every app. **Strengths:** Truly open source with a large GitHub community and self-hosting option; Very broad provider coverage with an OpenAI-compatible interface; Enterprise-grade controls: virtual keys, budgets, rate limits and audit logs; Day-zero support for new models and easy fallback when providers fail **Limitations:** Self-hosting means you own deployment, upgrades and uptime; Feature depth varies between the free open-source version and enterprise plan; The breadth of configuration options can be overwhelming for small projects [Profile (Markdown)](https://openaitools.app/tool/litellm.md) ## Frequently Asked Questions ### How do Composio and LiteLLM compare in monthly traffic? Composio has 2,782,603 monthly visits, while LiteLLM has 576,967. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Composio has a month-over-month growth rate of +22.8%; LiteLLM has +7.9%. ### How does pricing compare? Composio: Freemium, Contact for Pricing. Freemium. A free developer tier is available for getting started, with paid plans and custom enterprise pricing for higher usage, team controls, and security requirements. Exact tier limits are published on Composio's pricing page; contact sales for enterprise terms. LiteLLM: Freemium, Contact for Pricing. Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team. ## 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 | Provides a massive hosted model catalog with instant access, but requires trusting a third-party platform instead of self-hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 2 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Hosts high-performance open-weight models directly on dedicated serverless infrastructure, but does not route across external providers. | [.md](https://openaitools.app/tool/together-ai.md) | | 3 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Delivers automated model failover and budget governance through an API gateway, but with less open-source customization. | [.md](https://openaitools.app/tool/orcarouter.md) | | 4 | [Treg](https://openaitools.app/tool/treg) | 452,935 | +223.4% | Freemium | Open-source MCP gateway and pay-per-call catalog, but offers less extensive managed authentication workflows than Composio. | [.md](https://openaitools.app/tool/treg.md) | | 5 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Unified LLM gateway with failover and analytics, but offers less robust open-source developer SDK support. | [.md](https://openaitools.app/tool/zenmux.md) | | 6 | [Mastra](https://openaitools.app/tool/mastra) | 318,954 | -5% | Freemium, Contact for Pricing | Robust TypeScript framework for agent workflows and tools, but requires writing custom integration code instead of pre-built connectors. | [.md](https://openaitools.app/tool/mastra.md) | | 7 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | Powerful universal API infrastructure for connecting agents to B2B data, but focuses more on unified SaaS data than tool execution. | [.md](https://openaitools.app/tool/merge-dev.md) | | 8 | [Pipedream](https://openaitools.app/tool/pipedream) | 312,216 | -14.3% | Freemium, Paid, Contact for Pricing | Excellent managed authentication and event triggers for agent workflows, but less specialized around native MCP gateway protocols. | [.md](https://openaitools.app/tool/pipedream.md) | | 9 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | Offers advanced enterprise observability and guardrail tools, but lacks LiteLLM's lightweight self-hosted proxy simplicity. | [.md](https://openaitools.app/tool/portkey-ai.md) | | 10 | [Eden AI](https://openaitools.app/tool/eden-ai) | 173,828 | +6.5% | Paid, Contact for Pricing | Provides managed multi-provider AI routing and cost tracking, but lacks the native open-source flexibility of LiteLLM. | [.md](https://openaitools.app/tool/eden-ai.md) | --- Source: https://openaitools.app/compare/composio-vs-litellm More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)