# DeepSeek vs lrnos

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

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [lrnos](https://openaitools.app/tool/lrnos) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://lrnos.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Homework Helper, AI Notes Generator, AI Quiz Generator |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 372,761,591 | 0 |
| MoM Growth Rate | +4.3% | 0% |
| Primary Market | China | Global |
| Direct Visits | 291,585,405 | 0 |
| Review Score | 4.8 | 3.8 |
| 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)

## lrnos

lrnos positions itself as a study operating system rather than a simple note-taking or flashcard app. When you sign up you select your university or school, and the platform reads that institution's own public pages to discover your courses, exam dates and timetable. From there it produces lessons derived from your slides, lecture notes or syllabus, generates timed and marked practice exams modelled on your course's real past papers, and builds a day-by-day plan counted backwards from each exam date within the study hours you actually have.

The adaptivity is the core of the product. Every answer you give, every topic you miss and the amount of time you have available each day feed back into what the system serves you next: missed days are absorbed by the plan, and weak topics are surfaced first. There is also an assistant, referred to as the lrno, that answers questions grounded in your courses and shows which source document or slide each answer came from so you can verify it.

lrnos is currently presented as a beta product built by a small team (founder Belal Mohamed, based in Istanbul). It reports roughly 2,700 students across 187 universities, supports 131 languages, and is built on a mix of third-party models via OpenRouter alongside proprietary AI routing infrastructure. The company also sells seats to schools, universities and teachers, and offers gift seats for students who cannot pay.

**Pricing & Plans:** Free tier requiring no card, with about 20 new lessons per week and usage that refills every 5 hours and every week. Paid tiers are Go at $8.99/month, Pro at $15.99/month and Max at $49.99/month billed monthly, with roughly 17% saved on yearly billing. One-off credit top-ups (lrnoz) cost $2.99 and $7.99, never expire and are only consumed after plan usage runs out. Schools and teachers can buy seat-based plans by contacting the team.

- **Automatic course discovery from your school:** Select your institution and lrnos reads its own course pages to find your courses, exam dates and timetable, so you do not have to enter anything manually.
- **AI-generated lessons grounded in your material:** Lessons are built from your slides, notes, lecture recordings or course outline, with source references so you can see exactly which slide or document each point came from.
- **Timed, marked practice exams:** The platform locates your course's past exams and generates practice papers that follow the same format, then times and marks them like the real thing.
- **Adaptive daily plan:** A plan is generated by counting backwards from each exam date inside your available study hours, and it rebalances when you miss a day or when weak topics need more attention.
- **Study-pattern learning:** What you get right, what you miss and how much time you have all feed back into future reviews, plans and practice exams.

**Strengths:** Automatic course and exam discovery removes the manual setup that most study apps require; Lessons and exams are grounded in the learner's actual course material, with visible source references; The plan adapts to missed days and weak topics instead of being fixed at the start; Free tier is genuinely usable with no card required, and extra usage top-ups never expire

**Limitations:** Currently labelled beta, so features and reliability may still change; Course auto-discovery depends on how much information your school publishes publicly; Usage limits are metered and refills are time-based, which can interrupt heavy study periods on lower tiers

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while lrnos 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%; lrnos has 0%.

### 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). lrnos: Freemium. Free tier requiring no card, with about 20 new lessons per week and usage that refills every 5 hours and every week. Paid tiers are Go at $8.99/month, Pro at $15.99/month and Max at $49.99/month billed monthly, with roughly 17% saved on yearly billing. One-off credit top-ups (lrnoz) cost $2.99 and $7.99, never expire and are only consumed after plan usage runs out. Schools and teachers can buy seat-based plans by contacting the team.

## 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 | [Studocu](https://openaitools.app/tool/studocu-global) | 39,297,122 | +1.1% | Freemium | Share and access study materials worldwide — with AI study tools built in | [.md](https://openaitools.app/tool/studocu-global.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/deepseek-vs-lrnos

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