- Cost per million input tokens with cache hit
DeepSeek R1 is a revolutionary AI model developed with open-source code, providing advanced reasoning, mathematical, and coding capabilities. It surpasses existing solutions in performance while offering significant cost savings.
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What is Deepseek R1?
DeepSeek R1 represents a significant breakthrough in artificial intelligence, delivering top-tier performance in reasoning, mathematics, and coding tasks. Utilizing a sophisticated MoE (Mixture of Experts) architecture with 37B activated parameters and 671B total parameters, DeepSeek R1 implements advanced reinforcement learning techniques to achieve state-of-the-art benchmarks. The model offers robust performance, including 97.3% accuracy on MATH-500 and a 96.3% percentile ranking on Codeforces. Its open-source nature and cost-effective deployment options make it accessible for a wide range of applications.
Who will use Deepseek R1?
- AI researchers
- Enterprise developers
- Mathematical modelers
- Multilingual NLP developers
How to use the Deepseek R1?
- Step1: Visit the DeepSeek R1 website.
- Step2: Click on the 'Test DeepSeek R1 now' button.
- Step3: Load the DeepSeek-R1-Distill-Qwen-1.5B model in your browser.
- Step4: Interact with the model once it is fully loaded.
- Step5: Use the model for reasoning, mathematical, and coding tasks without sending data to a server.
Platform
- Web
Deepseek R1's Core Features & Benefits
The Core Features
- Advanced reasoning capabilities
- High mathematical accuracy
- Superior coding performance
- Open-source availability
The Benefits
- Reduced costs
- Enhanced problem-solving
- Open-source access
- Local and offline use
Deepseek R1's Main Use Cases & Applications
- AI research and development
- Enterprise code generation
- Mathematical modeling
- Multilingual natural language processing
Deepseek R1's Pros & Cons
The Pros
Open-source with MIT license allowing commercial use and modifications.
Highly competitive pricing, 90-95% cheaper than comparable OpenAI models.
State-of-the-art performance in reasoning, math, and code generation tasks.
Supports local deployment and multiple model variants for different resource needs.
Advanced reinforcement learning features like self-verification and multi-step reasoning.
API compatible with OpenAI endpoints, supporting long context lengths up to 128K tokens.
Runs entirely in-browser with WebGPU support allowing offline use.
The Cons
No direct information about user-friendly interfaces or end-user applications.
Limited details on ecosystem integrations beyond API and local deployment.
No dedicated mobile or extension app links provided.
Deepseek R1's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | Pay-as-you-go |
| Is credit card required | No |
| Paid from | 0.14 USD |
| Has lifetime plan | No |
| Billing frequency | Usage-based |
Details of Pricing Plan
Input Tokens (Cache Hit)
0.14 USDInput Tokens (Cache Miss)
0.55 USD- Cost per million input tokens with cache miss
Output Tokens
2.19 USD- Cost per million output tokens
FAQs of Deepseek R1
Deepseek R1 Company Information
- Website:
- Company Name: DeepSeek AI
- Support Email:
- Facebook:
- X(Twitter):
- YouTube:
- Instagram:
- Tiktok:
- LinkedIn:
Deepseek R1 Reviews
5/5
Deepseek R1's Main Competitors and alternatives?
OpenAI GPT models
Google BERT
Meta LLaMA
Qwen models
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