# DeepSeek vs nashnova

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. nashnova records 17,229 monthly visits with +33.1% growth and Free pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [nashnova](https://openaitools.app/tool/nashnova) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://www.nashnova.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Investing, AI For Finance, AI Research Tool, AI Agent |
| Pricing Model | Freemium | Free |
| Monthly Visits | 372,761,591 | 17,229 |
| MoM Growth Rate | +4.3% | +33.1% |
| Primary Market | China | China |
| Direct Visits | 291,585,405 | 8,218 |
| 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)

## nashnova

nashnova approaches investment research the way an analyst builds a thesis rather than the way a search engine returns results. You start from something concrete — a single stock, a quarterly earnings report, a macroeconomic variable, or a wider theme like semiconductors — and the platform breaks that starting point into individual, checkable judgments. Each judgment stays alive afterwards: when prices, disclosures, or market narratives shift, the agents revisit the underlying evidence and let you know what changed rather than leaving you with a static report you have to redo by hand.

The product is aimed at investors who follow developed Asian and American markets closely, with native coverage of Hong Kong and US listings as well as macro and sector context. Recurring market briefs give a regular read on tracked topics, while alerts surface material developments so you can decide whether your view still holds. Theme monitoring is a first-class concept here, so trends such as AI hardware, semiconductor supply cycles, smart-money positioning, insider and congressional disclosures, earnings quality, and market sentiment can all be followed as ongoing threads instead of one-off queries.

The company behind nashnova is CMCF Limited, based in Hong Kong, and the service includes an iOS app alongside the web workspace. Pricing is free according to our directory listing; the site focuses on market intelligence and research support rather than personalized financial advice, so treat its output as an input to your own decision-making process.

**Pricing & Plans:** Listed as Free in our directory. nashnova offers a free starting point and an iOS app; check the site for current plan details and any usage limits.

- **Trackable research threads:** Turn a ticker, earnings report, macro variable, or investment theme into discrete judgments that stay monitored over time instead of a one-off answer.
- **Recurring market briefs:** Receive regular briefings on the topics and instruments you follow, covering US and Hong Kong markets along with sector and macro context.
- **Change alerts:** Get notified when something material shifts in a tracked thesis, so you can reassess without manually re-running the same research every week.
- **Theme and sentiment monitoring:** Follow broad narratives such as AI hardware, semiconductor cycles, earnings trends, and market sentiment as persistent research topics.
- **Mobile access via iOS app:** Read briefs and keep up with your tracked threads on an iPhone, alongside the browser-based workspace.

**Strengths:** Converts open-ended research questions into ongoing, trackable threads rather than static reports; Native focus on both Hong Kong and US equities, which few Western tools cover well; Includes market, sector, macro, and sentiment angles in one workspace; Mobile app makes recurring briefs easy to consume away from the desk

**Limitations:** No personalized investment advice, so it complements rather than replaces your own judgment; Coverage centers on US and Hong Kong markets; other regions may be thinner; Newer platform, so independent track records and user reviews are still limited

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while nashnova has 17,229. 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%; nashnova has +33.1%.

### 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). nashnova: Free. Listed as Free in our directory. nashnova offers a free starting point and an iOS app; check the site for current plan details and any usage limits.

## 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 | [MacroMicro](https://openaitools.app/tool/macromicro) | 928,258 | +22.5% | Freemium, Paid | Global macro data and AI research platform for smarter economic decisions | [.md](https://openaitools.app/tool/macromicro.md) |

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

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