# DeepSeek vs Grapevine

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

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Grapevine](https://openaitools.app/tool/grapevine) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://getgrapevine.ai |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Agent, AI Knowledge Management, AI Assistant, AI Search Engine |
| Pricing Model | 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 | 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)

## Grapevine

Grapevine is a knowledge aggregation platform designed for teams that want their scattered company knowledge to be usable by AI. Instead of leaving documents, tickets and messages locked inside dozens of separate SaaS tools, Grapevine pulls them together: it connects to sources like Slack, Notion, Linear, GitHub, Google Drive, HubSpot and Salesforce, then extracts, processes and embeds that content into one unified semantic search index. Because the connectors normalize everything into documents and chunks, a single query can surface relevant answers regardless of which tool originally held the information.

The standout capability is its MCP (Model Context Protocol) server, which lets AI assistants such as Claude search and retrieve the company's knowledge directly. It ships with search tools (semantic_search, keyword_search), document retrieval tools (get_document, get_document_metadata) and an agent tool (ask) that performs AI-powered question answering over the knowledge store. An optional Slack bot brings the same question answering into team channels.

The project is offered as open source under the MIT license and is built to be self-hosted. It runs on Docker and Docker Compose with PostgreSQL 15+ (pgvector), OpenSearch 2.x, Redis and an OpenAI API key for embeddings, and it provides an admin UI plus Kubernetes/kustomize deployment manifests. Because the current public domain redirects to the project's GitHub repository, users should treat Grapevine as a developer-oriented, self-hosted solution rather than a managed SaaS subscription.

**Pricing & Plans:** Grapevine is distributed as open-source software under the MIT license, so there is no license fee. You pay only for the infrastructure it runs on (such as PostgreSQL, OpenSearch, Redis hosting) and for the OpenAI API key used to generate embeddings.

- **Unified knowledge index:** Connects to Slack, Notion, Linear, GitHub, Google Drive, HubSpot, Salesforce and more, then extracts, processes and embeds everything into one searchable index.
- **MCP server for AI assistants:** Exposes search, document retrieval and question-answering tools over the Model Context Protocol so assistants like Claude can query company knowledge directly.
- **Semantic and keyword search:** Combines AI embedding-based semantic search with keyword search so users find the right document whether they search by meaning or by exact term.
- **Optional Slack bot:** Adds AI-powered question answering directly inside Slack so answers appear where teams already work.
- **Self-hostable with Docker and Kubernetes:** Ships with Docker Compose, Tilt for local development, and kustomize manifests for production Kubernetes deployments, giving teams full control over data.

**Strengths:** Open source under the MIT license, so there is no vendor lock-in and no per-seat license fee; Broad connector coverage spanning chat, docs, project management, code and CRM tools; Native MCP server makes it straightforward to ground AI assistants in company data; Self-hosted architecture keeps sensitive internal knowledge inside your own infrastructure

**Limitations:** Self-hosting requires real infrastructure knowledge (PostgreSQL, OpenSearch, Redis, Docker, Kubernetes); Still needs an external OpenAI API key and cloud services for embeddings and search, so it is not fully dependency-free; Commercial managed/marketing experience has wound down, so newcomers rely on repository documentation

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while Grapevine 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%; Grapevine 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). Grapevine: Free. Grapevine is distributed as open-source software under the MIT license, so there is no license fee. You pay only for the infrastructure it runs on (such as PostgreSQL, OpenSearch, Redis hosting) and for the OpenAI API key used to generate embeddings.

## 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 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.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 | [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) |
| 10 | [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) |

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

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