# Agent-Native vs DeepSeek

Agent-Native records 52,065 monthly visits with +90.7% month-over-month growth and Free pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [Agent-Native](https://openaitools.app/tool/agent-native) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://www.agent-native.com | https://www.deepseek.com |
| Categories | AI Agent, AI App Builder, AI Developer Tools, AI Workflow | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Free | Freemium |
| Monthly Visits | 52,065 | 372,761,591 |
| MoM Growth Rate | +90.7% | +4.3% |
| Primary Market | United States | China |
| Direct Visits | 22,560 | 291,585,405 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 0 | 44 |
| Supported Platforms | Website | Website |

## Agent-Native

Agent-Native is an open-source framework for building what its authors call agentic applications: software where an AI agent and a human interface are first-class peers rather than an agent bolted onto an existing app. The central idea is that a capability should be defined once. When you declare an action with defineAction(), the same code is callable by the embedded agent, by React components in the UI, by external HTTP clients, and by integrations, so there is no drifting duplicate logic between the automation and the interface.

Around that core, the framework wires together the pieces most agent products end up rebuilding: shared application state so the agent knows what the user is viewing or editing, a shared PostgreSQL database as one source of truth for users and agents, persistent memory and reusable skills, scheduled and event-driven automations, multi-agent teams, and authentication with organizations plus resource-level permissions for viewing, commenting, editing and managing.

Agent-Native is deliberately stack-agnostic. It is TypeScript, open source, and designed so you bring your own LLM, your own database and your own hosting, keeping the application code in your own repository. The project also ships a set of open-source reference apps, including Design, Slides, Clips, Analytics, Calendar, Mail, Content, Assets and Forms, which you can use as-is or fork and customize, and you can start a new project from the CLI or build online through Builder.io.

**Pricing & Plans:** Agent-Native is an open-source framework that is free to use; the project itself is distributed at no cost, and you pay only for whatever you supply yourself, such as your own LLM, database and hosting. Reference apps are described as free to use or customize.

- **One action, every surface:** Declare a capability once with defineAction() and it is automatically available to the agent, the React UI, HTTP clients and integrations, eliminating duplicated logic.
- **Shared state and data:** The agent sees what users are browsing, selecting and editing, and both read and write the same PostgreSQL database as a single source of truth.
- **Skills and memory:** Give agents reusable expertise, persistent context and long-term memory so they stop repeating mistakes and do not need re-explaining.
- **Automations and agent teams:** Run agent work on schedules or in response to events, and delegate to specialist agents within a workspace or across connected agents.
- **Auth, orgs and sharing built in:** Sign-in, user accounts, organization membership, and per-resource permissions for view, comment, edit and manage come wired into the framework.

**Strengths:** Capability is defined once and reused by agent, UI, APIs and integrations, which cuts duplication; Brings your own LLM, database and host, so there is no model or cloud lock-in; Open source TypeScript with application code kept in your repository; Batteries-included auth, organizations, permissions, memory, skills and automations

**Limitations:** Requires TypeScript and full-stack comfort; it is a framework, not a no-code builder; You are responsible for hosting, database operations and LLM costs; The ecosystem and third-party documentation are still relatively young

[Profile (Markdown)](https://openaitools.app/tool/agent-native.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 Agent-Native and DeepSeek compare in monthly traffic?

Agent-Native has 52,065 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agent-Native has a month-over-month growth rate of +90.7%; DeepSeek has +4.3%.

### How does pricing compare?

Agent-Native: Free. Agent-Native is an open-source framework that is free to use; the project itself is distributed at no cost, and you pay only for whatever you supply yourself, such as your own LLM, database and hosting. Reference apps are described as free to use or customize. 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 | [Lovable](https://openaitools.app/tool/lovable) | 31,052,090 | +3.8% | Freemium | Describe your idea in chat and Lovable turns it into a working app or website | [.md](https://openaitools.app/tool/lovable.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 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |

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Source: https://openaitools.app/compare/agent-native-vs-deepseek

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