# DeepSeek vs FaceSearch

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. FaceSearch records 167,598 monthly visits with +66.6% growth and Freemium pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [FaceSearch](https://openaitools.app/tool/facesearch-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://facesearch.net |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Face Recognition, AI Search Engine, AI API |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 372,761,591 | 167,598 |
| MoM Growth Rate | +4.3% | +66.6% |
| Primary Market | China | United States |
| Direct Visits | 291,585,405 | 43,240 |
| Review Score | 4.8 | 3.7 |
| 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)

## FaceSearch

FaceSearch is a specialized reverse search product built around faces rather than scenery or objects. Instead of typing a query, you upload a single photo; the system validates that a usable face is present, then scans indexed public imagery from social networks, dating platforms and websites and returns candidate matches with source links and confidence scores. The service markets itself for practical everyday problems: checking whether a dating profile is real, spotting a catfish or romance scam, verifying a candidate or contractor, and finding out whether your own pictures are being reused without permission.

Privacy and legality get explicit treatment throughout the product. Uploads are encrypted in transit and, per the vendor, deleted within 24 hours, with no permanent storage of biometric data. Users must confirm they have the right to search a given image, and stalking or harassment is prohibited. Each search costs three credits, and credits are only consumed when a search completes, so a technical failure gets refunded, though a search that genuinely returns nothing still uses credits.

Pricing follows a credit model with a free entry point. A PRO subscription is listed at $29 per month including 60 credits and features such as search history and PDF export, while pay-as-you-go credit packs range from a small starter pack up to enterprise volumes at progressively lower per-credit rates. Payment options cover major cards, wallets such as Apple Pay and Google Pay, PayPal, regional methods including Alipay and WeChat Pay, and cryptocurrency. The product also offers dedicated search modes per social network and companion apps for iOS and Android.

**Pricing & Plans:** Freemium with a free starting tier, a PRO subscription listed at $29/month for 60 credits plus history and PDF export, and pay-as-you-go credit packs from about $6 for 3 credits up to $599 for 1,000 credits.

- **Reverse image face search:** Search across social profiles, dating sites and general web pages to locate where a given face has appeared publicly.
- **Smart face pre-validation:** Uploaded images are screened before a search runs, so low-quality or faceless photos don't burn your search credits.
- **Exportable PDF reports:** Turn a completed search into a professional report with matches, confidence scores and source links for documentation or legal use.
- **Search history for subscribers:** PRO users can revisit and re-download past search results, keeping a record of everything they have checked.
- **Mobile apps and social-specific searches:** Apps for iOS and Android plus dedicated modes for Instagram, TikTok, Facebook, X, Snapchat, YouTube and LinkedIn.

**Strengths:** Purpose-built for faces rather than generic image matching, with confidence scores and source links for each match; Clear privacy stance: encrypted uploads deleted within 24 hours and no permanent biometric storage; Flexible payment coverage including cards, wallets, PayPal, regional methods and cryptocurrency

**Limitations:** Searches that return no results still consume credits, so unsuccessful checks cost money; Credits are generally non-refundable once purchased, aside from technical failures; Face search raises ethical and legal sensitivities that vary by jurisdiction and must be respected

[Profile (Markdown)](https://openaitools.app/tool/facesearch-ai.md)

## Frequently Asked Questions

### How do DeepSeek and FaceSearch compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while FaceSearch has 167,598. 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%; FaceSearch has +66.6%.

### 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). FaceSearch: Freemium. Freemium with a free starting tier, a PRO subscription listed at $29/month for 60 credits plus history and PDF export, and pay-as-you-go credit packs from about $6 for 3 credits up to $599 for 1,000 credits.

## 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 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power. | [.md](https://openaitools.app/tool/ollama.md) |
| 10 | [Lenso.ai](https://openaitools.app/tool/lenso-ai) | 1,588,648 | -1.3% | Freemium | Offers broader reverse image and face matching capabilities across the web, but focuses more heavily on general visual search. | [.md](https://openaitools.app/tool/lenso-ai.md) |

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Source: https://openaitools.app/compare/deepseek-vs-facesearch-ai

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