# DeepSeek vs Floto

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Floto records 24,086 monthly visits with -25.6% growth and Freemium pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Floto](https://openaitools.app/tool/floto) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://floto.ai |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Design Assistant, AI UX Design, AI Assistant, AI Research Tool |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 372,761,591 | 24,086 |
| MoM Growth Rate | +4.3% | -25.6% |
| Primary Market | China | India |
| Direct Visits | 291,585,405 | 16,252 |
| Review Score | 4.8 | 4 |
| 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)

## Floto

Floto attacks a specific, familiar failure mode in product work: shipping without feedback. The team's premise, laid out in a founder note on the site, is that most products that fail do so quietly, drifting away from what users needed because feedback arrived too late, too abstract or too disconnected from real people. Floto's answer is to make feedback faster and closer to the act of building, so learning happens while there is still time to act.

In practice that means running audits directly on the canvas. The Figma plugin produces design audits that explain why something is broken rather than only flagging it, identifies missing states and scenarios in a flow, tests how users move through a prototype, and diffs what the team shipped against what was designed. Newer Floto Rooms goes further: paste a link, and simulated personas — a first-time visitor, a screen-reader user, someone on a phone, a power user — react to the page, including on staging and production URLs via a Chrome extension.

The product is transparent about being a simulation rather than a substitute for research. Personas are a fast way to surface likely friction before a study, not a source of real user data. Access is credit-based, with a genuinely usable free tier: 200 credits a week, with a design audit from 20 credits, persona testing 50, flow testing 75 and Design Diff from 25. Pro is $10 per month for 1,500 credits, Teams is $10 per seat with 2,500 pooled credits per seat, and Enterprise is custom. The platform reports more than 10,000 designers using it, and some features are Figma-only, which is worth noting if your team works outside Figma.

**Pricing & Plans:** Credit-based. Free Forever gives 200 credits per week. Pro is $10/month for 1,500 credits/month; Teams is $10 per seat (minimum 3 seats) for 2,500 credits per seat with pooled credits; Enterprise is custom. Credit top-up packs are available. Audits from 20 credits, persona testing 50, flow testing 75, Design Diff from 25.

- **Design audit:** Get a critique of a design in seconds with an explanation of why something is broken, not just a flag, covering usability, copy and accessibility issues.
- **Synthetic persona testing:** Put simulated personas such as a first-time visitor or a screen-reader user in front of your screens to hear likely confusion before real customers do.
- **Flow and prototype testing:** Test how users move through a prototype and find missing states and scenarios that your current flow does not handle.
- **Design Diff:** Verify that what the team shipped matches what was designed, catching drift between the approved design and the built interface.
- **Floto Rooms:** Paste a link and let simulated personas review a live page running on staging or production, so the first confused reaction comes from a persona.

**Strengths:** Genuinely usable free tier with 200 credits per week and no rate limits on Pro; Feedback arrives inside Figma or on a live URL, so it fits the moment of building; Audits explain the why behind an issue, which makes them easier to action than a raw checklist; Design Diff addresses design drift, a problem most review tools ignore

**Limitations:** Figma-only for several features (persona testing, flow testing, design diff), which limits teams working outside Figma; Credits are consumed per action, so heavy audit and persona use requires careful budgeting; Rooms and persona feedback is simulation, not real user research, and should not replace it

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while Floto has 24,086. 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%; Floto has -25.6%.

### 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). Floto: Freemium. Credit-based. Free Forever gives 200 credits per week. Pro is $10/month for 1,500 credits/month; Teams is $10 per seat (minimum 3 seats) for 2,500 credits per seat with pooled credits; Enterprise is custom. Credit top-up packs are available. Audits from 20 credits, persona testing 50, flow testing 75, Design Diff from 25.

## 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 | [Refero Design](https://openaitools.app/tool/refero-design) | 1,147,552 | +3.4% | Freemium | A searchable library of 145,000+ real web and iOS screens for UI/UX inspiration. | [.md](https://openaitools.app/tool/refero-design.md) |

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

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