# DeepSeek vs Roark

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Roark records 9,226 monthly visits with +23.1% growth and Paid pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Roark](https://openaitools.app/tool/roark) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://roark.ai |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Voice Assistants, AI Monitor, AI Testing, AI Developer Tools |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 372,761,591 | 9,226 |
| MoM Growth Rate | +4.3% | +23.1% |
| Primary Market | China | United States |
| Direct Visits | 291,585,405 | 4,831 |
| Review Score | 4.8 | 4.4 |
| 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)

## Roark

Roark is a QA and evaluation platform built specifically for voice AI agents, not another agent builder. It closes the loop between testing and production: simulate an agent against hundreds of callers before launch, score every live call once it is running, and use the findings to ship a proven fix. The team behind it is backed by Y Combinator and reports SOC 2 Type II along with HIPAA BAA support.

Simulation is the pre-launch side. Roark runs your agent against realistic personas built from your own call types, including the angry caller, the rambler and the interrupter, with native accents, code-switching and background noise across 45 languages. Adversarial red-team callers probe for prompt injection and social engineering, while load and health tests confirm the agent survives peak concurrency and stays reachable after launch.

The second half is observability. Every production call is scored as it arrives using Roark's purpose-built audio models rather than a generic LLM grading a transcript, measuring pronunciation, accent clarity, emotion, vocal stress, pace, interruptions and dead air alongside resolution, empathy, hallucination and compliance checks. Issues are filed automatically, dashboards and OTEL traces are available, and changes are diffed so you can see that a fix moved the metric without breaking a caller somewhere else. Roark also publishes Live Bench, a free public leaderboard that scores 300+ speech-to-text, LLM and speech-engine combinations over the real phone network.

**Pricing & Plans:** Usage-based, billed in dollars with no seat licenses. Pay-as-you-go starts free with $50 of credit for work-email signups, then $0.15/min of simulation plus provider costs and $0.04/metric/min. Team is $500/month in included usage at lower rates ($0.10/min simulation, $0.02/metric/min) with 25 concurrent lines and 10 seats. Enterprise starts from $4,000/month committed, adds volume rates and controls such as SSO, data residency, DPA and SLA, and supports invoicing and POs.

- **Pre-launch simulation testing:** Run your agent against hundreds of realistic personas, accents, background noise and edge cases before a customer ever dials in.
- **Red teaming and adversarial callers:** Red-team callers attempt prompt injection, jailbreaks and social engineering to check your agent holds policy under pressure.
- **Post-call analysis at scale:** Every live call is scored as it lands on more than 500 metrics, with issues filed, alerts fired and traces attached.
- **Audio-native scoring models:** Purpose-built audio models measure pronunciation, emotion, vocal stress, pace, interruptions and dead air, not just transcript quality.
- **Regression testing and CI gates:** Rerun the whole suite on every prompt or model change and diff it against your last green baseline to catch regressions before merge.
- **Roark Live Bench leaderboard:** The public Roark Live Bench calls 300+ model combinations over the real phone network and ranks them on end-to-end scores.

**Strengths:** Purpose-built audio models instead of LLM-only transcript grading; Covers the full loop from pre-launch simulation to production monitoring to verified fixes; Transparent dollar-based usage pricing with provider costs passed through at cost; Works with existing stacks such as Vapi, Retell, LiveKit and Pipecat

**Limitations:** Usage-based billing can be harder to forecast at high simulation volume; Priced for teams and companies rather than individual hobbyists; Enterprise controls such as SSO, data residency and SLA sit behind a from-$4,000/mo commitment; Value depends on how much of your work already runs on measurable voice traffic

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while Roark has 9,226. 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%; Roark has +23.1%.

### 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). Roark: Paid. Usage-based, billed in dollars with no seat licenses. Pay-as-you-go starts free with $50 of credit for work-email signups, then $0.15/min of simulation plus provider costs and $0.04/metric/min. Team is $500/month in included usage at lower rates ($0.10/min simulation, $0.02/metric/min) with 25 concurrent lines and 10 seats. Enterprise starts from $4,000/month committed, adds volume rates and controls such as SSO, data residency, DPA and SLA, and supports invoicing and POs.

## 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 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |

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

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