# APIMaster vs NaN Builders

APIMaster records 210,182 monthly visits with +46.3% month-over-month growth and Paid pricing. NaN Builders records 47,153 monthly visits with +18.7% growth and Subscription pricing.

| Metric | [APIMaster](https://openaitools.app/tool/apimaster) | [NaN Builders](https://openaitools.app/tool/nan-builders) |
| :--- | :--- | :--- |
| Website URL | https://apimaster.ai | https://nan.builders |
| Categories | AI API, AI Developer Tools, AI Website Builder, AI Chatbot | AI API, Open Source AI Models, Large Language Models (LLMs), AI Models |
| Pricing Model | Paid | Subscription |
| Monthly Visits | 210,182 | 47,153 |
| MoM Growth Rate | +46.3% | +18.7% |
| Primary Market | United States | Spain |
| Direct Visits | 65,736 | 27,759 |
| 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)

## NaN Builders

NaN ("Not a Number") is built around a simple observation: closed-model APIs are convenient but costly and rate-limited, while open models are free but need hardware most people don't own. NaN closes that gap by pooling powerful GPUs among builders who actually use them and splitting the real infrastructure cost across members. There is no per-token billing on the models NaN hosts itself.

The cluster hosts around seventeen open models covering chat and reasoning (DeepSeek, Qwen, GLM, Gemma, Kimi, Tencent Hunyuan), embeddings, reranking, text-to-speech with Kokoro, speech-to-text with Whisper, and image generation with FLUX and Qwen-Image. Everything is served through an OpenAI-compatible endpoint, so existing SDKs, agents and coding tools mostly work by changing the base URL and API key. Models are voted on by the community every quarter, and privacy is a stated design goal: processing stays in the European Union and prompts and responses are not logged.

Access is a three-tier membership rather than a usage meter. The lowest tier is Discord community access only, the middle tier adds API credits and private channels, and the premium tier adds far more credits, larger models and higher concurrency. There is also a separate paid add-on for dedicated cloud workspaces. The community is deliberately gated so members are people who actually build, with projects showcased on the site.

**Pricing & Plans:** Flat-rate monthly membership in euros with VAT included, plus optional paid workspace add-ons. A community-only tier covers Discord access, while higher tiers add API credits, bigger models, more concurrency and a free Micro workspace on the top plan. Exact prices are listed on the official pricing section.

- **OpenAI-compatible API:** Point an existing SDK, agent or coding tool at NaN's endpoint with a personal API key and keep your current code, just swapping the base URL.
- **Flat-rate, not per token:** Membership plans include recurring credits and the self-hosted models draw none, so heavy experimentation does not scale linearly in cost.
- **Broad open-model lineup:** Chat, reasoning and vision models plus embeddings, reranking, Kokoro TTS, Whisper STT and image generation from FLUX and Qwen-Image, all behind one API.
- **Privacy by design:** Inference runs in the European Union with zero prompt or response logging; your code is not used for training and only cluster metrics are retained.
- **Community voting and gated membership:** Members vote each quarter on which open models the cluster hosts and get private Discord channels, events, workshops and hackathons.

**Strengths:** Predictable flat monthly cost instead of unpredictable token spend; Genuinely broad open-model coverage, including speech, embeddings, reranking and image generation; Drop-in OpenAI-compatible endpoint means minimal code changes; Strong privacy posture with EU processing and zero prompt logging

**Limitations:** There is no free inference tier; calling the models requires a paid membership or credit packs; Access and support are Discord-centric, which suits developers more than non-technical users; Credit allowances and model availability are set by community votes and can change between quarters

[Profile (Markdown)](https://openaitools.app/tool/nan-builders.md)

## Frequently Asked Questions

### How do APIMaster and NaN Builders compare in monthly traffic?

APIMaster has 210,182 monthly visits, while NaN Builders has 47,153. 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%; NaN Builders has +18.7%.

### 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. NaN Builders: Subscription. Flat-rate monthly membership in euros with VAT included, plus optional paid workspace add-ons. A community-only tier covers Discord access, while higher tiers add API credits, bigger models, more concurrency and a free Micro workspace on the top plan. Exact prices are listed on the official pricing section.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Ultra-fast AI inference on the LPU and LPX platform | [.md](https://openaitools.app/tool/groq.md) |
| 6 | [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | +5.1% | Free | Open-source model and dataset hub with one-click online demos | [.md](https://openaitools.app/tool/modelscope-community.md) |
| 7 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 8 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | OpenAI-compatible gateway with advanced budget governance and routing, but fewer pre-integrated niche models. | [.md](https://openaitools.app/tool/orcarouter.md) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/apimaster-vs-nan-builders

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