# DeepSeek vs Squirro

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Squirro records 12,752 monthly visits with +12.1% growth and Contact for Pricing pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Squirro](https://openaitools.app/tool/squirro-com) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://squirro.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Productivity Tools, Large Language Models (LLMs), AI Knowledge Management |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 372,761,591 | 12,752 |
| MoM Growth Rate | +4.3% | +12.1% |
| Primary Market | China | India |
| Direct Visits | 291,585,405 | 5,092 |
| 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)

## Squirro

Squirro is an enterprise GenAI platform with two halves that work together. The foundation, Squirro Neo, provides connectors, retrieval, a context layer, an agent framework and the governance that keeps AI answers accurate and auditable. On top sits the AI Agent Catalog: a library of ready-to-deploy agents mapped to specific business outcomes, from regulatory document search and RFP response to IT helpdesk deflection and legacy application knowledge capture.

The platform's argument is economic as much as technical. Rather than rebuilding connectors, retrieval, security and audit for every AI project, an organization assembles that foundation once and extends it agent by agent. You start where friction is highest, prove measurable value in weeks, then add the next use case on the same rails, so time-to-value shortens and the investment compounds.

Squirro is aimed squarely at regulated and large organizations: banking and financial services, insurance, investment banking, manufacturing, government, healthcare and life sciences, and telecom and utilities. Core capabilities include knowledge graphs and GraphRAG, agentic AI, a classifier, a privacy layer and AI guardrails, with deployment options spanning enterprise cloud, private cloud and on-premises. Pricing is not published; engagements begin with a demo and a scoped quote.

**Pricing & Plans:** Contact for pricing. Squirro does not publish list prices; it offers hands-on demos of Squirro Neo, GraphRAG and the agents without a sales call, and quotes per engagement based on deployment model, selected agents and scale. Enterprise, private-cloud and on-premises options are available.

- **GraphRAG and knowledge graphs:** Governed retrieval over enterprise content using knowledge graphs so answers stay grounded, connected and traceable back to source documents.
- **AI Agent Catalog:** A catalog of ready-to-deploy agents covering regulatory search, RFP and proposal response, policy Q&A, portfolio insight, legacy knowledge capture and more.
- **Security, privacy and guardrails:** Privacy layer, AI guardrails, classifier and a dedicated Security and Trust Center, with support for on-premises and sovereign deployment.
- **Reusable enterprise foundation:** Connectors, retrieval, governance and audit are assembled once, so each new agent inherits the same foundation instead of rebuilding plumbing.
- **Insights across business functions:** The platform spans knowledge management, service intelligence, enterprise search and insights, and risk, audit and compliance in one governed layer.

**Strengths:** One governed foundation means each new agent deploys faster and cheaper than the last; Strong fit for regulated industries with on-premises, privacy and audit requirements; Knowledge graphs and GraphRAG deliver cited, traceable answers rather than free-floating text; A large catalog of ready-made agents shortens the path from idea to production

**Limitations:** No public pricing; every engagement starts with a demo and a scoped quote; Enterprise-focused scope means little value for individuals or very small teams; The breadth of the platform (agents, graphs, connectors, guardrails) takes effort to configure; Deployment and setup benefit from vendor involvement, so time-to-value is measured in weeks

[Profile (Markdown)](https://openaitools.app/tool/squirro-com.md)

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while Squirro has 12,752. 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%; Squirro has +12.1%.

### 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). Squirro: Contact for Pricing. Contact for pricing. Squirro does not publish list prices; it offers hands-on demos of Squirro Neo, GraphRAG and the agents without a sales call, and quotes per engagement based on deployment model, selected agents and scale. Enterprise, private-cloud and on-premises options are available.

## 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 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Enterprise AI grounded in your company's own knowledge | [.md](https://openaitools.app/tool/glean.md) |

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Source: https://openaitools.app/compare/deepseek-vs-squirro-com

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