# DeepSeek vs Nimbalyst

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Nimbalyst records 206,980 monthly visits with -11.5% growth and Freemium, Free pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Nimbalyst](https://openaitools.app/tool/nimbalyst) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://nimbalyst.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Code Assistant, AI Developer Tools, AI Code Generator, AI Project Management |
| Pricing Model | Freemium | Freemium, Free |
| Monthly Visits | 372,761,591 | 206,980 |
| MoM Growth Rate | +4.3% | -11.5% |
| Primary Market | China | United States |
| Direct Visits | 291,585,405 | 41,804 |
| Review Score | 4.8 | 4.3 |
| Saved Count | 44 | 1 |
| 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)

## Nimbalyst

Running coding agents is easy; keeping track of what they did is not. Nimbalyst addresses that gap from two directions. The Wiki is a lightweight plugin for Claude Code, Codex, Cowork, Cursor, VS Code or any MCP-compatible agent — as your agents work, they record the decisions they made, the questions still open and the big picture into structured pages you can read and edit. No account or separate app is required to use it.

The Nimbalyst App goes further with a desktop workspace: a Kanban board for tasks, a Markdown and code editor, a diagramming surface and the wiki itself, all in one window. Because agents can add what they learn as they work, nobody has to hand-write the project page, and open questions surface as items that need a decision. A Context Graph feature ties the relationships between pages together.

Nimbalyst also ships a Wiki Teams layer for groups: each teammate's agent contributes to one shared wiki, pages are edited together in the browser in real time, and you can see which decisions are made, by whom, and which are still pending. The personal wiki and app remain free for individuals; Wiki Teams is the paid plan and is free while in beta. The company also publishes open-source components and SOC-2 Type 2 compliance information.

**Pricing & Plans:** Free for individuals. The Nimbalyst App and the personal wiki plugin cost nothing and run locally. Wiki Teams is the paid plan for sharing a wiki across a team, and is free during its beta period.

- **Agent-written wiki:** A plugin for Claude Code, Codex, Cowork, Cursor, VS Code or any MCP agent that turns your agents' work into editable pages covering decisions, open questions and project context.
- **Visual desktop workspace:** Tasks, docs, wiki, diagrams and code share one window, so you can think and direct work without hopping between tools.
- **Kanban and Markdown editor:** Organize agent work on a board and edit documentation or code directly in the app.
- **Context Graph:** Maps how decisions, pages and questions relate so you can see the whole project at a glance.
- **Shared Wiki Teams:** Every teammate's agent contributes to one wiki, edited live in the browser, with visibility into who decided what.

**Strengths:** Free, local and open source for individual use; Works with your existing Claude Code or Codex subscription and API key; Wiki plugin needs no account and supports any MCP-compatible agent; Combines task board, editor, diagrams and wiki in a single workspace

**Limitations:** Aimed squarely at agent-driven development, so it adds little for teams not using coding agents; Wiki Teams is still in beta and free only during that period

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while Nimbalyst has 206,980. 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%; Nimbalyst has -11.5%.

### 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). Nimbalyst: Freemium, Free. Free for individuals. The Nimbalyst App and the personal wiki plugin cost nothing and run locally. Wiki Teams is the paid plan for sharing a wiki across a team, and is free during its beta period.

## 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 | Provides an AI-native coding IDE, but lacks Nimbalyst's dedicated agent decision wiki and project workspace. | [.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 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Acts as an open-source workspace control plane for coding agents, emphasizing orchestration over context wikis. | [.md](https://openaitools.app/tool/t3-code.md) |

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

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