# DeepSeek vs NaN Builders

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. NaN Builders records 47,153 monthly visits with +18.7% growth and Subscription pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [NaN Builders](https://openaitools.app/tool/nan-builders) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://nan.builders |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI API, Open Source AI Models, Large Language Models (LLMs), AI Models |
| Pricing Model | Freemium | Subscription |
| Monthly Visits | 372,761,591 | 47,153 |
| MoM Growth Rate | +4.3% | +18.7% |
| Primary Market | China | Spain |
| Direct Visits | 291,585,405 | 27,759 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 44 | 0 |
| Supported Platforms | Website | Website |

## DeepSeek

DeepSeek (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.) is a frontier AI research organization that disrupted the global LLM market by pairing open-weight transparency with breakthrough Mixture-of-Experts (MoE) and reinforcement-learning reasoning efficiency. Following the landmark releases of DeepSeek-V3 and the peer-reviewed DeepSeek-R1 reasoning model, DeepSeek introduced the DeepSeek-V4 generation in 2026—featuring a hybrid attention architecture and a native 1-million-token context window across DeepSeek-V4-Pro (1.6T total parameters, 49B active per token) and DeepSeek-V4.1-Flash (284B total parameters, 13B active per token).

Users can interact with DeepSeek in three ways: completely free through the consumer web portal (chat.deepseek.com) and mobile apps with one-click toggles for deep thinking and live web search; via DeepSeek's hosted, OpenAI-compatible developer API; or by self-hosting DeepSeek's open-weight checkpoints (including V3, R1, Prover-V2, and distilled Qwen/Llama variants) on private infrastructure. The models excel at competitive mathematics, algorithm design, repository-level software engineering, and structured data extraction, with automatic context caching on the API that slashes repeated prompt costs by over 95%.

In late 2026, DeepSeek remains the price-performance benchmark for developers and automation workflows. While the consumer chat interface remains free without a mandatory $20/month subscription tier, the developer API transitioned in late 2026 to two primary endpoints—`deepseek-flash` and `deepseek-v4-pro`—with time-of-day pricing. Off-peak API calls cost just $0.15 per million input tokens ($0.003 on cache hits) and $0.60 per million output tokens on Flash, and $0.66 input / $1.98 output on V4-Pro, making it a fraction of the cost of comparable Western frontier models.

**Pricing & Plans:** Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

- **DeepSeek-V4 Hybrid Attention & 1M Context:** Leverages a sparse Mixture-of-Experts architecture (49B active parameters out of 1.6T on V4-Pro) to process up to 1 million tokens with minimal latency and memory overhead.
- **Transparent Chain-of-Thought Reasoning:** Pioneered by DeepSeek-R1 and integrated into V3.2 and V4 thinking modes, exposing step-by-step self-verification for complex math, logic, and code debugging.
- **Automatic Context Caching & Off-Peak API Pricing:** Drops input token costs to $0.003/1M on Flash and $0.022/1M on V4-Pro for cache hits, with 50% lower rates during off-peak UTC hours.
- **Free Consumer Web & Mobile Assistant:** Provides free access at chat.deepseek.com and on iOS/Android with document uploads, reasoning mode, and web search without paywalling core models.
- **Open-Weight Ecosystem & Self-Hosting Freedom:** Offers open weights for DeepSeek-V3, R1, Distill variants, and Prover models on Hugging Face and GitHub so enterprises can deploy within air-gapped environments.

**Strengths:** Completely free consumer web and mobile app with deep reasoning and web search included; Ultra-low API token rates ($0.15/$0.60 on Flash, $0.66/$1.98 on V4-Pro off-peak) with up to 98% savings on cached inputs; Drop-in OpenAI API compatibility makes switching or routing between models effortless; Strong open-weight lineage allows teams to self-host or fine-tune models without vendor lock-in

**Limitations:** Hosted API and web app store data on servers in China, prompting compliance restrictions for some Western enterprises and government agencies; Peak-hour API pricing (01:00–04:00 and 06:00–10:00 UTC on weekdays) doubles per-token costs compared to off-peak rates; Lacks native voice mode, video generation, and productivity suite integrations offered by ChatGPT and Google Gemini

[Profile (Markdown)](https://openaitools.app/tool/deepseek.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 DeepSeek and NaN Builders compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while NaN Builders has 47,153. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DeepSeek has a month-over-month growth rate of +4.3%; NaN Builders has +18.7%.

### How does pricing compare?

DeepSeek: Freemium. Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x). 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 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Offers an enormous context window and deep Google ecosystem integration, but feels less specialized for pure reasoning tasks. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 3 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Delivers superior long-form coding artifacts and nuanced writing, but lacks DeepSeek's specialized open-weight reasoning models. | [.md](https://openaitools.app/tool/claude-2.md) |
| 4 | [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) |
| 5 | [Grok](https://openaitools.app/tool/grok) | 203,846,050 | -0.8% | Freemium | Features real-time X social data integration, but is less cost-effective for dedicated developer coding workflows. | [.md](https://openaitools.app/tool/grok.md) |
| 6 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 7 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Provides comparable open-weight foundation models and multilingual performance, but requires self-hosting or third-party inference setup. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 8 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 9 | [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) |
| 10 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Excels at ultra-long document analysis and research, but lacks the same level of open-weight developer community support. | [.md](https://openaitools.app/tool/kimi-chat.md) |

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Source: https://openaitools.app/compare/deepseek-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)
