# AutoFlow vs DeepSeek

AutoFlow records 0 monthly visits with -100% month-over-month growth and Free pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [AutoFlow](https://openaitools.app/tool/autoflow) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://tidb.ai | https://www.deepseek.com |
| Categories | AI Assistant, AI Knowledge Graph, AI Chatbot | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 372,761,591 |
| MoM Growth Rate | -100% | +4.3% |
| Primary Market | Global | China |
| Direct Visits | 0 | 291,585,405 |
| Review Score | 4.5 | 4.8 |
| Saved Count | 0 | 44 |
| Supported Platforms | Website | Website |

## AutoFlow

AutoFlow, hosted at tidb.ai, is a conversational knowledge base built around one narrow but useful idea: let people ask ordinary questions about TiDB and get answers assembled from indexed technical documentation instead of a generic language-model guess. Under the hood it uses a knowledge-graph retrieval-augmented generation pipeline, where TiDB itself provides the vector storage and the PyTiDB SDK drives data access. In other words, the tool is both a demo of and a use case for TiDB's AI-oriented features.

The interface is deliberately minimal. There is a question box, a set of suggested starter prompts spanning vector search, full-text and hybrid search, foreign key support and TiDB Cloud pricing comparisons, plus a login option for keeping conversation threads. Answers can reference tables and structured comparisons, which matters for developer documentation where a plain paragraph is often less useful than a spec table.

The project is openly published on GitHub and the site includes an introduction and API notes, so teams can reproduce the same knowledge-graph RAG pattern against their own documentation or internal corpus. There is no published paid tier: the hosted assistant is free, and the cost of a self-hosted deployment is whatever TiDB cluster and model inference you run.

**Pricing & Plans:** The hosted assistant at tidb.ai is free to use, including suggested starter questions and thread saving after login. Self-hosting is possible from the public GitHub repository, where your only costs are the TiDB cluster and model inference you provision.

- **Conversational Q&A:** Ask natural-language questions about TiDB and get answers drafted from indexed technical content rather than generic model memory.
- **Knowledge-graph RAG:** Combines graph structure with vector retrieval, using TiDB X vector storage so multi-hop technical questions stay grounded in source material.
- **Built on TiDB and PyTiDB:** Powered by the PyTiDB SDK, the same stack documented in the answers, which makes the sample questions genuinely testable.
- **Multi-thread conversations:** Suggested starter questions cover vector search, full-text search, hybrid search and cost comparisons, so evaluation takes seconds.
- **Open source and self-hostable:** The repository is public on GitHub, and the docs explain how to stand up your own instance against your own data.

**Strengths:** Free to use with no published paid tier; Answers grounded in indexed TiDB documentation via knowledge-graph RAG, not generic model output; Built by the TiDB team, so it doubles as a working reference for PyTiDB and TiDB vector storage; Suggested starter prompts cover practical developer questions such as foreign keys, vector search and pricing comparisons

**Limitations:** Scope is narrow: the public instance answers TiDB questions rather than acting as a general-purpose assistant; No mobile app is offered; it is a web interface; Some advanced behaviour requires working knowledge of TiDB and the PyTiDB SDK

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

## 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)

## Frequently Asked Questions

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

AutoFlow has 0 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AutoFlow has a month-over-month growth rate of -100%; DeepSeek has +4.3%.

### How does pricing compare?

AutoFlow: Free. The hosted assistant at tidb.ai is free to use, including suggested starter questions and thread saving after login. Self-hosting is possible from the public GitHub repository, where your only costs are the TiDB cluster and model inference you provision. 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).

## 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 | [DeepWiki by Cognition](https://openaitools.app/tool/deepwiki-by-congnition) | 879,539 | -3.1% | Free | AI-generated wikis and chat for any public GitHub repository | [.md](https://openaitools.app/tool/deepwiki-by-congnition.md) |

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

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