# DeepSeek vs SiliconFlow

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. SiliconFlow records 276,303 monthly visits with -10.5% growth and Pay-as-you-go pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [SiliconFlow](https://openaitools.app/tool/siliconflow) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://www.siliconflow.com |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI Developer Tools, AI API, AI Models |
| Pricing Model | Freemium | Pay-as-you-go |
| Monthly Visits | 372,761,591 | 276,303 |
| MoM Growth Rate | +4.3% | -10.5% |
| Primary Market | China | United States |
| Direct Visits | 291,585,405 | 95,109 |
| Review Score | 4.8 | 4.6 |
| Saved Count | 44 | 1 |
| 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)

## SiliconFlow

SiliconFlow positions itself as AI infrastructure rather than a single model. The platform aggregates a broad catalog spanning text LLMs, image generation (for example FLUX family), video, and audio models, so teams can switch or compare models by changing one parameter instead of rebuilding an integration. Requests are served through an OpenAI-compatible endpoint, meaning existing SDK code often works with only a base-URL and key swap.

Deployment is flexible by design. Developers can start on Serverless inference with pay-per-use billing and no setup, move to dedicated endpoints for isolation and throughput, or reserve NVIDIA H100/H200, AMD MI300 and RTX 4090 class GPUs when they need guaranteed capacity and predictable billing. An Elastic GPU (FaaS) tier targets bursty or spiky inference workloads, and an AI Gateway layer adds smart routing, rate limiting and cost controls across models.

The platform also covers the surrounding lifecycle: data access and processing, fine-tuning and one-click deployment of customized models, and an inference engine tuned in-house for higher throughput and lower latency. SiliconFlow states that customer data is not stored, and pricing is published per million tokens with separate input, cached-input and output rates, which makes cost forecasting relatively straightforward.

**Pricing & Plans:** Pay-as-you-go with no upfront commitment: serverless inference is billed per million tokens (separate input, cached-input and output rates) or per generated image, and pricing tables are published publicly per model. Capacity-based options include dedicated endpoints, reserved GPUs and elastic GPU deployment, typically quoted via a sales conversation. A free "Get Started" tier is offered so you can test models before committing.

- **One OpenAI-compatible API:** Access a large catalog of LLMs and multimodal models through a single endpoint, so most existing SDK code works after swapping the base URL and key.
- **Serverless, dedicated and reserved deployment:** Start with pay-per-use serverless calls, then move to dedicated endpoints, reserved H100/H200/MI300 GPUs or elastic GPU (FaaS) deployment as throughput and cost requirements grow.
- **Fine-tuning and one-click deployment:** Customize supported models on your own data and push the tuned variant to a hosted endpoint without building a training pipeline from scratch.
- **Published per-token pricing:** Transparent rate tables list input, cached-input and output prices per million tokens, plus per-image rates for generation models, making budget planning concrete.
- **AI Gateway routing and controls:** A gateway layer centralizes model access with smart routing, rate limiting and cost-control policies across providers and model families.

**Strengths:** Large multi-vendor catalog behind one OpenAI-compatible API reduces integration work; Transparent, published per-token and per-image pricing makes cost modeling predictable; Deployment options scale from serverless prototyping to reserved GPUs without a platform migration; Stated no-data-retention policy and in-house inference optimization for latency and throughput

**Limitations:** Model-specific rate details and rapid catalog changes require monitoring to keep cost models accurate; Reserved GPU and dedicated capacity pricing is sales-led rather than fully self-serve; Feature depth varies by model family, so some advanced options are not uniform across the catalog

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

## Frequently Asked Questions

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

DeepSeek has 372,761,591 monthly visits, while SiliconFlow has 276,303. 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%; SiliconFlow has -10.5%.

### 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). SiliconFlow: Pay-as-you-go. Pay-as-you-go with no upfront commitment: serverless inference is billed per million tokens (separate input, cached-input and output rates) or per generated image, and pricing tables are published publicly per model. Capacity-based options include dedicated endpoints, reserved GPUs and elastic GPU deployment, typically quoted via a sales conversation. A free "Get Started" tier is offered so you can test models before committing.

## 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 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 5 | [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) |
| 6 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides direct access to Gemini models with a generous free tier, but lacks broader open-source model variety. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates a wider selection of global models, but lacks SiliconFlow's specialized high-throughput open-weight infrastructure. | [.md](https://openaitools.app/tool/openrouter-ai.md) |

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

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