# DeepSeek vs QA.tech

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. QA.tech records 30,550 monthly visits with -4.4% growth and Paid, Contact for Pricing pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [QA.tech](https://openaitools.app/tool/qa-tech) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://qa.tech |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 372,761,591 | 30,550 |
| MoM Growth Rate | +4.3% | -4.4% |
| Primary Market | China | Sweden |
| Direct Visits | 291,585,405 | 21,231 |
| Review Score | 4.8 | 4.3 |
| 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)

## QA.tech

QA.tech positions itself as the verification layer for teams shipping software with heavy AI assistance: coding got much faster, but review and QA did not keep pace. Instead of maintaining a fragile library of selectors and scripts, QA.tech runs autonomous agents that open your live web or native mobile app, work toward goals the way a person would, and report back on what actually works before code is merged.,The product is built around continuous, dynamic testing rather than one-off suites. Connect GitHub, GitLab or Bitbucket and a CI provider, and agents automatically pick up each pull request together with its preview environment, run end-to-end and exploratory passes, and comment on the PR with results. When something fails, you get screenshots, console and network activity and the agent's reasoning at the point of failure, which shortens time to root cause considerably.,Testing is also context-aware over time. Journeys and domain rules you spell out in chat accumulate as knowledge the agents reuse on every later run, and a blast-radius view flags changes that ship untested because a required test user or journey is missing. The platform is cloud-native, needs no code access, and is targeted at QA leads, engineers, CTOs and DevOps teams; Vercel Ventures and founder investors back the company. Pricing is not published as a simple self-serve number — teams book a demo, though a free getting-started path is offered.

**Pricing & Plans:** Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs.

- **Plain-language test authoring:** Describe a journey or rule in chat and the agent turns it into durable test cases that survive refactors and redesigns.
- **PR-level verification:** Every pull request gets a dynamic exploratory pass with preview environments, failure breakdowns, screenshots, console and network logs.
- **Web and native mobile:** Agents target real browsers and native iOS and Android apps, so coverage reaches beyond the web front end.
- **CI, Git and issue-tracker integrations:** Findings flow into Jira and Linear, and agents can be queried over MCP by other coding agents.
- **Blast-radius analysis:** Detects when changes to a module are untested and recommends the exact journeys or test users needed to close the gap.

**Strengths:** Agents test visually without selectors, so suites survive redesigns and framework migrations; Runs automatically on every pull request with preview environments; Plain-English test authoring is accessible to non-engineers; Rich failure evidence — screenshots, logs, network data and agent reasoning

[Profile (Markdown)](https://openaitools.app/tool/qa-tech.md)

## Frequently Asked Questions

### How do DeepSeek and QA.tech compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while QA.tech has 30,550. 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%; QA.tech has -4.4%.

### 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). QA.tech: Paid, Contact for Pricing. Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs.

## 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 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |

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Source: https://openaitools.app/compare/deepseek-vs-qa-tech

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