# dassi vs DeepSeek

dassi records 12,194 monthly visits with +57.9% month-over-month growth and Freemium pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [dassi](https://openaitools.app/tool/dassi) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://dassi.ai | https://www.deepseek.com |
| Categories | AI Agent, AI Workflow, AI Browsers, AI Productivity Tools | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 12,194 | 372,761,591 |
| MoM Growth Rate | +57.9% | +4.3% |
| Primary Market | India | China |
| Direct Visits | 7,443 | 291,585,405 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 0 | 44 |
| Supported Platforms | Website | Website |

## dassi

dassi installs as a side panel in Chrome, Edge, or Brave, so it uses tabs you are already signed into rather than a fresh browser or an API integration. Teaching it is deliberately manual the first time: you either describe the job in plain English or demonstrate it while dassi watches and reads the pages itself. From there you set the constraints — which sites it may touch, what varies each run, when it fires, where output goes, and which steps must be confirmed by you before they happen. Runs happen locally on your machine, which means your browser needs to be open when a scheduled run comes due.

The product's real argument is cost discipline on repeat work. dassi keeps each job's context byte-stable inside a run so repeated steps read from your model provider's prompt cache, cutting input token spend substantially on models that support caching. As it works a site, it also writes itself a small JavaScript helper library for that site, so later runs call a function instead of re-deriving selectors from screenshots and HTML each time. Corrections you make are stored in an editable memory that carries into future runs instead of being lost with the chat.

You choose the engine: Claude, GPT, Gemini, Grok, DeepSeek, Kimi, or another OpenRouter model, with your own key or included credits, switchable at any time. Typical shapes of work are reconciliation (matching payouts to orders), screening (scoring applicants into an ATS), and reporting (assembling a weekly dashboard into your own template). When a run hits something ambiguous, dassi stops and asks — in the side panel, or over Telegram if you are away from your desk.

**Pricing & Plans:** Currently in beta with free credits that do not expire and no credit card required to start. Model usage can be billed through your own provider API key or through dassi's included credits. A separate Enterprise offering is available for teams; check the pricing page for current tiers and credit rates.

- **Teach-once workflows:** Describe a job in plain English or demonstrate it once; dassi saves it as a named workflow with a plan, sites, inputs, and a run history.
- **Scheduled or on-demand runs:** Trigger a workflow manually or let its schedule fire, receiving a completion notice or an exception that only you can decide.
- **Human approval gates:** Flag the steps that must be confirmed — sending an email, opening a support case, rejecting a candidate — and approve from the side panel or Telegram.
- **Editable task memory:** Corrections you give about a supplier, column, or tone are written into a memory you can read and edit, so they apply to the next run.
- **Token and site-skill efficiency:** Byte-stable context enables provider prompt caching for large input savings, while learned per-site JavaScript libraries replace repeated DOM re-derivation.

**Strengths:** Runs in the browser you already have, on accounts you are already signed into, with no integrations to wire up; Model-agnostic: bring Claude, GPT, Gemini, or any OpenRouter model with your own key; Caching and learned site skills make repeated jobs progressively cheaper than a fresh chat each time; Explicit approval checkpoints plus local execution keep credentials out of the agent's hands

**Limitations:** Scheduled runs require your browser to be open and the machine awake at the trigger time; You must teach each job before it becomes reliable, so the first run is a real time investment; Currently labeled beta, so feature surface and credit pricing may still shift

[Profile (Markdown)](https://openaitools.app/tool/dassi.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 dassi and DeepSeek compare in monthly traffic?

dassi has 12,194 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

dassi has a month-over-month growth rate of +57.9%; DeepSeek has +4.3%.

### How does pricing compare?

dassi: Freemium. Currently in beta with free credits that do not expire and no credit card required to start. Model usage can be billed through your own provider API key or through dassi's included credits. A separate Enterprise offering is available for teams; check the pricing page for current tiers and credit rates. 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 | [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) |
| 7 | [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) |
| 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 | [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) |

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

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