# DeepSeek vs Team9

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Team9 records 0 monthly visits with -100% growth and Freemium pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Team9](https://openaitools.app/tool/team9) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://team9.ai |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Agent, AI Assistant, AI Productivity Tools, AI Developer Tools |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 372,761,591 | 0 |
| MoM Growth Rate | +4.3% | -100% |
| Primary Market | China | Global |
| Direct Visits | 291,585,405 | 0 |
| Review Score | 4.8 | 4.1 |
| 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)

## Team9

Team9.ai is built around a distinction that matters as agents move into production: chatting with a model is not the same as getting accountable work done. Team9 treats AI agents as an execution team rather than a prompt box. Each agent is given a role, context, an owner and an operating lane, and work is assigned from a single shared queue so priorities stay visible to both humans and agents.

The system is designed for long-running tasks. Team9.ai manages a full execution loop — plan, start, inspect, escalate, finish, summarise — and when an agent hits missing context, a broken environment or a risky decision, it raises a blocker rather than guessing. Every update, decision and handoff stays visible in a shared timeline, so you can review the trail later or step in only when a human call is needed. A control room shows who is working, what is queued, where compute is running and which outcomes are at risk, with usage, latency, errors and cost kept in view.

The other half of the product is reuse. Team9.ai captures the way your team ships — launch checklists, bug triage, PR review, customer research, reporting — as playbooks that encode the instructions, examples, files, tools and decision rules that make an agent effective. A playbook written once becomes available to every agent and teammate, so execution improves over time instead of resetting with each task. It works with leading models such as Claude, GPT, Gemini, Kimi and GLM, and is meant to sit alongside your existing tools as a coordination layer rather than replace them. It runs on Mac, with Free, Pro and Enterprise tiers.

**Pricing & Plans:** Freemium with a clear ladder: a Free plan at $0/month for basic AI workspace access and community support; Pro at $19/month adding an agent instance, priority support and advanced collaboration tools (free during beta); and Enterprise with custom pricing for unlimited agents, dedicated support and SLA, custom integrations and on-premise deployment.

- **Role-based agents:** Create agents for engineering, growth, support, research, QA and ops, each with an owner, context and a clear lane for what it handles.
- **Shared execution board:** Humans and agents work from one queue, so priorities stay clear and nothing disappears into a chat thread.
- **Long-running task management:** Agents plan, start, inspect, escalate, finish and summarise; when they hit missing context or a risky decision they raise the issue instead of guessing.
- **Reusable playbooks:** Codify instructions, examples, files, tools and decision rules so a workflow written once is reusable by every agent and teammate.
- **Control room visibility:** Track local and cloud agents, queues, owners, status, latency, errors and cost from one command center.

**Strengths:** Treats agents as accountable workers with owners, status and a definition of done; Shared execution board keeps humans and agents on the same queue; Playbooks turn successful runs into reusable team memory; Blockers are escalated rather than silently guessed at

**Limitations:** Pricing model and agent limits may shift while Pro is free during beta; Some advanced capabilities (unlimited agents, on-premise, SLA) sit behind Enterprise sales; Too much structure for very small teams with only occasional agent use; Value compounds only if the team invests time in writing good playbooks and context

[Profile (Markdown)](https://openaitools.app/tool/team9.md)

## Frequently Asked Questions

### How do DeepSeek and Team9 compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while Team9 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%; Team9 has -100%.

### 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). Team9: Freemium. Freemium with a clear ladder: a Free plan at $0/month for basic AI workspace access and community support; Pro at $19/month adding an agent instance, priority support and advanced collaboration tools (free during beta); and Enterprise with custom pricing for unlimited agents, dedicated support and SLA, custom integrations and on-premise deployment.

## 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 | [Muse](https://openaitools.app/tool/muse-ai-1) | 45,751,822 | +228.3% | Contact for Pricing | Your personal AI agent from Meta that actually gets things done | [.md](https://openaitools.app/tool/muse-ai-1.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/deepseek-vs-team9

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