# APIMaster vs MakeHub APIMaster records 210,182 monthly visits with +46.3% month-over-month growth and Paid pricing. MakeHub records 0 monthly visits with -100% growth and Paid pricing. | Metric | [APIMaster](https://openaitools.app/tool/apimaster) | [MakeHub](https://openaitools.app/tool/makehub-ai) | | :--- | :--- | :--- | | Website URL | https://apimaster.ai | https://makehub.ai | | Categories | AI API, AI Developer Tools, AI Website Builder, AI Chatbot | AI API, AI Models, AI Developer Tools, Large Language Models (LLMs) | | Pricing Model | Paid | Paid | | Monthly Visits | 210,182 | 0 | | MoM Growth Rate | +46.3% | -100% | | Primary Market | United States | Global | | Direct Visits | 65,736 | 0 | | Review Score | 4 | 4.4 | | Saved Count | 0 | 0 | | 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) ## MakeHub MakeHub sits between your application and the growing marketplace of large language model providers. Rather than committing to a single vendor for a given model such as GPT-4, Claude, or Llama, you send requests to MakeHub's unified API and it decides, at request time, which provider should serve the call. The decision weighs live performance signals, availability, and pricing, which helps teams avoid vendor lock-in and get more consistent results from the same underlying models. Because the routing layer is dynamic, MakeHub doubles as a reliability and failover mechanism. If a provider is slow or degraded, traffic can be steered toward a healthier host instead of failing outright. This makes it attractive for production workloads where uptime and tail latency matter, and for teams whose usage patterns spike unpredictably. Cost is the other headline benefit. Because the same model is often available from several competing providers at different rates, MakeHub can arbitrage those differences and route to the most economical option that still meets the performance bar. The result is a single integration point that keeps your AI stack portable, resilient, and cheaper to run as the provider landscape shifts. **Pricing & Plans:** MakeHub is a paid, usage-based service: you pay for the model calls you route through it, with provider pricing passed through plus any routing surcharge. Exact rates vary by model and provider, so check the MakeHub site for current figures. - **Real-time dynamic routing:** Each request is scored against live performance, availability, and price signals, then dispatched to the best provider for that model at that moment. - **Single unified API:** One OpenAI-compatible endpoint covers GPT, Claude, Llama, Mistral, DeepSeek, and more, so you avoid integrating each vendor separately. - **Automatic failover:** When a provider slows down or degrades, traffic is redirected to a healthier host so requests keep completing instead of erroring out. - **Cost optimization:** Routes to the cheapest provider that still satisfies the performance requirement, capturing price differences between competing model hosts. - **Provider-agnostic portability:** Swap underlying vendors without rewriting application code, reducing lock-in as the LLM market changes. **Strengths:** One integration instead of many provider SDKs; Built-in failover improves uptime for AI features; Price arbitrage can lower per-token cost meaningfully; Works across the major frontier and open models **Limitations:** Adds a routing hop that can introduce its own latency; You depend on MakeHub's uptime in addition to your provider's; Usage-based pricing makes total spend harder to predict upfront [Profile (Markdown)](https://openaitools.app/tool/makehub-ai.md) ## Frequently Asked Questions ### How do APIMaster and MakeHub compare in monthly traffic? APIMaster has 210,182 monthly visits, while MakeHub has 0. 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%; MakeHub has -100%. ### 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. MakeHub: Paid. MakeHub is a paid, usage-based service: you pay for the model calls you route through it, with provider pricing passed through plus any routing surcharge. Exact rates vary by model and provider, so check the MakeHub site for current figures. ## 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 | One API key for hundreds of AI models from every major provider | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 4 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) | | 5 | [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) | | 6 | [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) | | 7 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) | | 8 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | One unified API for 100+ AI models, with insurance when output disappoints | [.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 | One API key for hundreds of AI models | [.md](https://openaitools.app/tool/aihubmix.md) | --- Source: https://openaitools.app/compare/apimaster-vs-makehub-ai More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)