# APIMaster vs LiteLLM APIMaster records 210,182 monthly visits with +46.3% month-over-month growth and Paid pricing. LiteLLM records 576,967 monthly visits with +7.9% growth and Freemium, Contact for Pricing pricing. | Metric | [APIMaster](https://openaitools.app/tool/apimaster) | [LiteLLM](https://openaitools.app/tool/litellm) | | :--- | :--- | :--- | | Website URL | https://apimaster.ai | https://litellm.ai | | Categories | AI API, AI Developer Tools, AI Website Builder, AI Chatbot | AI API, Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | | Pricing Model | Paid | Freemium, Contact for Pricing | | Monthly Visits | 210,182 | 576,967 | | MoM Growth Rate | +46.3% | +7.9% | | Primary Market | United States | United States | | Direct Visits | 65,736 | 228,967 | | Review Score | 4 | 4.8 | | Saved Count | 0 | 5 | | Supported Platforms | Website | Website | ## APIMaster APIMaster is an API routing marketplace for teams that want access to frontier models without paying frontier list prices. It aggregates verified provider channels for GPT, Claude, Gemini, DeepSeek, Qwen, Kling, Seedance and others behind one OpenAI-compatible endpoint, then routes each request to the lowest-cost verified channel available. You top up a single prepaid balance and burn it across every model in the catalogue. The core trust problem with cheap API resale is model substitution. APIMaster addresses it with an LLM fingerprint test applied to each provider before it is listed, so the model answering your request matches the one on the pricing page. The site also exposes uptime figures and per-million-token input and output rates for each route, which makes it possible to see that a cheaper channel is genuinely live rather than simply cheaper. Reliability is handled with automatic failover. If a channel degrades, traffic moves to the next verified provider without you rotating keys or redeploying. The catalogue covers LLM, image, video, audio and embedding endpoints, and because the interface is OpenAI-compatible, existing agent tooling and IDE integrations such as Cursor, Claude Code, LangChain and LiteLLM work with only a base URL and key swap. It is aimed at indie builders and product teams whose main cost driver is inference spend. **Pricing & Plans:** Pay-as-you-go against a prepaid balance. Rates are quoted per million input and output tokens and vary by model and routed provider, with discounts advertised at up to around 90% off official list pricing. Top-ups are made via USDT or Epay; no credit card is required to create a key. - **Broad model catalogue:** The catalogue spans over 90 models across LLMs, image, video, audio and embedding endpoints, individually priced per million tokens. - **Fingerprint-verified APIs:** Each listed provider passes an LLM fingerprint test intended to confirm you receive the exact model you paid for, with no silent substitution. - **Automatic failover routing:** If a routed channel goes down, requests are automatically routed to the next verified provider, so production calls keep running without manual key rotation. - **One OpenAI-compatible key:** Use one key and one prepaid balance across every model, with an OpenAI-compatible base URL for tools like Cursor, LangChain and LiteLLM. - **Cost and uptime transparency:** The site exposes per-provider uptime figures and input and output token rates so you can compare routes before committing traffic. **Strengths:** Large single-point catalogue of models behind one OpenAI-compatible key; Discounts advertised at up to 90% off official list pricing; Automatic failover removes single-upstream downtime as a failure mode; Per-provider uptime and token rates are published for comparison [Profile (Markdown)](https://openaitools.app/tool/apimaster.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 APIMaster and LiteLLM compare in monthly traffic? APIMaster has 210,182 monthly visits, while LiteLLM has 576,967. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? APIMaster has a month-over-month growth rate of +46.3%; LiteLLM has +7.9%. ### How does pricing compare? APIMaster: Paid. Pay-as-you-go against a prepaid balance. Rates are quoted per million input and output tokens and vary by model and routed provider, with discounts advertised at up to around 90% off official list pricing. Top-ups are made via USDT or Epay; no credit card is required to create a key. 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 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Official frontier models with maximum reliability, but lacks third-party model aggregation and cost-saving routing. | [.md](https://openaitools.app/tool/openai.md) | | 2 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Direct native access to Google's Gemini models with generous free tiers, but limited to Google's ecosystem. | [.md](https://openaitools.app/tool/google-ai-studio.md) | | 3 | [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) | | 4 | [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) | | 5 | [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) | | 6 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Unified AI inference platform supporting multiple modalities, but less specialized purely for LLM routing. | [.md](https://openaitools.app/tool/atlas-cloud.md) | | 7 | [CometAPI](https://openaitools.app/tool/cometapi) | 602,966 | +49.7% | Pay-as-you-go (credits) | Offers a comparable large catalog of frontier models under one endpoint, but documentation and community support are more limited. | [.md](https://openaitools.app/tool/cometapi.md) | | 8 | [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) | | 9 | [SiliconFlow](https://openaitools.app/tool/siliconflow) | 276,303 | -10.5% | Pay-as-you-go | High-performance cloud inference hosting open-weight models, but narrower commercial model variety than general gateways. | [.md](https://openaitools.app/tool/siliconflow.md) | | 10 | [AiHubMix](https://openaitools.app/tool/aihubmix) | 238,455 | -16.1% | Contact for Pricing | Provides a similarly discounted OpenAI-compatible multi-model endpoint, but with slightly fewer community ecosystem integrations. | [.md](https://openaitools.app/tool/aihubmix.md) | --- Source: https://openaitools.app/compare/apimaster-vs-litellm More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)