- Cost per million input tokens with cache hit
Deepseek R1
0
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.
Open Source AI Models
AI Math
AI Repurpose
AI Search Engine
#Artificial Intelligence
#Machine Learning
#Deep Learning
#Reinforcement Learning
#Open-Source AI
#Mathematical Reasoning
#Coding Solutions
#Expert Systems
#AI Performance
#Data Science Tools
#Programming Accuracy
#Software Development
#Cost-Effective AI
#Advanced Algorithms
#Tech Innovation
#AI Applications
#Computational Intelligence
#Data Analysis
#Code Competitions
#AI Model Training
...
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Update this Tool
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.
Open Source AI Models
AI Math
AI Repurpose
AI Search Engine
#Artificial Intelligence
#Machine Learning
#Deep Learning
#Reinforcement Learning
#Open-Source AI
#Mathematical Reasoning
#Coding Solutions
#Expert Systems
#AI Performance
#Data Science Tools
#Programming Accuracy
#Software Development
#Cost-Effective AI
#Advanced Algorithms
#Tech Innovation
#AI Applications
#Computational Intelligence
#Data Analysis
#Code Competitions
#AI Model Training
...
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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
- DeepSeek AI
Analytic of Deepseek R1
Visit Over Time
Monthly Visits
51.0k
Avg Visit Duration
00:00:18
Page Per Visit
1.66
Bounce Rate
39.88%
Oct 2025 - Dec 2025 All Traffic
Geography
Top 5 Regions
Russia
8.44%
Ethiopia
4.24%
Belarus
4.12%
Vietnam
4.09%
Kazakhstan
3.9%
Oct 2025 - Dec 2025 Worldwide Desktop Only
Traffic Sources
Search
51.11%
Direct
33.67%
Referrals
9.98%
Social
3.80%
Paid Referrals
0.98%
Mail
0.21%
Oct 2025 - Dec 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| deepseek r1 | 32.8k | $ 0.93 |
| вуузыуул | 50.1k | $ 0.29 |
| deep seek | 593.0k | $ 0.64 |
| deepseek-r1 | 7.7k | $ -- |
| deepseek | 14476.6k | $ 0.47 |
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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