# DeepSeek vs Kate

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Kate records 0 monthly visits with 0% growth and Freemium, Free pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Kate](https://openaitools.app/tool/kate) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://shopwithkate.ai |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | Fashion AI, AI Shopping Assistant, AI Assistant, AI Outfit Generator |
| Pricing Model | Freemium | Freemium, Free |
| Monthly Visits | 372,761,591 | 0 |
| MoM Growth Rate | +4.3% | 0% |
| Primary Market | China | Global |
| Direct Visits | 291,585,405 | 0 |
| 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)

## Kate

Kate is a consumer-facing AI fashion assistant that positions itself as a personal stylist you can talk to. The product lives in a mobile app, and the website serves as a lightweight front door: an introduction from Kate herself and a prompt to download the app. Once inside, the assistant helps with the practical side of shopping for clothes — figuring out what to wear, finding outfit inspiration, and narrowing down what to buy.

The value proposition is personalization. Instead of scrolling endless catalogs, users describe what they are after and Kate responds with outfit ideas and product suggestions aligned to their style and interests. It also flags fashion deals, which is useful for shoppers who want inspiration and savings in the same place rather than hopping between style blogs and discount sites.

Because Kate is a shopping companion rather than a design or merchandising tool, it is best suited to everyday consumers who want casual styling advice and quicker decisions. The presentation is deliberately playful and approachable, using a warm conversational tone and emoji throughout, which signals that Kate is aimed at delighting shoppers rather than impressing fashion professionals.

**Pricing & Plans:** Listed as freemium with a free tier. The public website does not publish a detailed pricing table or plan comparison, so check inside the app for current free limits and any paid upgrades.

- **Personalized outfit inspiration:** Kate builds outfit suggestions around the user's stated taste and interests rather than showing the same generic feed to everyone.
- **Shopping recommendations:** The assistant recommends products and looks that fit what the user is shopping for, functioning as a conversational shopping companion.
- **Deal discovery:** Kate surfaces fashion deals, so users can spot discounts and offers while browsing for style ideas.
- **Conversational stylist persona:** Kate communicates like a friendly stylist you chat with, keeping the experience light and approachable for casual shoppers.

**Strengths:** Delivers personalized outfit and product suggestions instead of a one-size-fits-all feed; Combines style inspiration with deal discovery in a single assistant; Friendly, conversational tone that makes styling advice easy to follow for casual shoppers; Available as a published mobile app, so it is usable on the go while shopping

**Limitations:** The website provides very little product detail, so most evaluation has to happen inside the app; No detailed public pricing information, making it hard to know the free tier's limits up front; Targeted at everyday shoppers, so it lacks the depth professionals might expect from styling software

[Profile (Markdown)](https://openaitools.app/tool/kate.md)

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while Kate has 0. 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%; Kate has 0%.

### 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). Kate: Freemium, Free. Listed as freemium with a free tier. The public website does not publish a detailed pricing table or plan comparison, so check inside the app for current free limits and any paid upgrades.

## 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 | [MOSSO](https://openaitools.app/tool/mosso) | 1,370,961 | +26.1% | Paid | AI personal styling with color analysis, virtual try-on, and daily outfit ideas | [.md](https://openaitools.app/tool/mosso.md) |

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Source: https://openaitools.app/compare/deepseek-vs-kate

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