What is DeepSeek R1? A Guide to Experiencing the DeepSeek R1 for Free

Introduction: Why Pay Attention to DeepSeek R1?

Large language models have evolved from "can chat and write copy" to "can reason and think seriously." The new generation of reasoning large models like OpenAI's o1 series and DeepSeek R1 are redefining the upper limits of AI.

At the same time, the multi-model integrated platform XXAI integrates more than a dozen mainstream AI models including ChatGPT, Claude, Gemini, and DeepSeek R1, allowing individuals and enterprises to freely switch and combine them at a single entry point, improving effectiveness while reducing costs.

What is the DeepSeek R1 Model?

DeepSeek R1 is an AI reasoning large model that "thinks seriously." Similar to ordinary large language models, it can chat, write, and code, but its real distinguishing feature is: when encountering math problems, programming challenges, or complex logic problems, it reasons first, then answers.

You can think of it this way:

• Ordinary models: Like talkative friends, quick to respond, but sometimes "jump to conclusions";
• DeepSeek R1 reasoning model: Like a serious top student, accustomed to first listing conditions, derivation processes, then giving conclusions.

It was launched by the DeepSeek team and is a truly open-source model:

• Weights and code are public and available for learning and research;
• Enterprises can also deploy it locally or in private clouds;
• Multiple lightweight versions are also available (R1-Distill 1.5B ~ 70B), convenient for running in resource-limited environments.

If you just want to experience its actual performance without setting up your own environment, the simplest way is: Directly select the DeepSeek R1 model on the XXAI platform and try it online for free.

Core Advantages of the DeepSeek R1 Reasoning Large Model

Compared with traditional chat models, the advantages of the DeepSeek R1 model are mainly reflected in "reasoning depth" and "usability." The following points will tell you why it's worth trying yourself.

1. Outstanding Mathematical and Logical Reasoning Capabilities

DeepSeek R1 performs exceptionally well in mathematical competition problems, complex logic problems, proof problems, and other scenarios, especially suitable for:

• Solving complex math problems with detailed solution processes;
• Training on Olympiad and AIME-style problems;
• Handling probability theory, linear algebra, and other problems with derivation processes;
• Analyzing logical reasoning, brain teasers, and logic games.

Characteristics: It won't just give you a result, but will systematically break down conditions, list intermediate derivations, and explain why each step is valid, more like a teacher's board explanation.

2. Strong Code Understanding, Transformation, and Debugging Capabilities

As an AI programming assistant, DeepSeek R1's strengths go beyond "can write code," but rather:

• Can understand the structure and design ideas of existing projects;
• Can infer the root cause of bugs based on error logs and stack information;
• Provides step-by-step solutions during refactoring, rewriting, or version migration (e.g., migrating old frameworks to new ones);

Applicable scenarios:

• Bug analysis and repair suggestions in daily development;
• Understanding the structure of unfamiliar open-source projects;
• Designing module decomposition and performance optimization solutions for existing systems.

3. "Slow Thinking + Self-verification" for More Reliable Answers

DeepSeek R1 is a model specifically optimized for Chain-of-Thought reasoning:

• Before answering, it tends to expand ideas, list assumptions and intermediate calculations;
• On some problems, it will self-reflect and check for logical loopholes;
• Compared to traditional models, there are fewer instances of "seriously stating wrong conclusions."

Especially suitable for these tasks:

• Mathematical problems requiring precise calculations;
• Business logic with low error tolerance (e.g., finance, risk control);
• Research and project plan reviews requiring rigorous argumentation.

Efficient Application Scenarios and Usage Tips for DeepSeek R1 (with Prompt Examples)

Below are some scenarios proven in practice to be very suitable for using the DeepSeek R1 model, with directly copyable prompt templates to help you get started quickly.

Scenario 1: Programmer's "Deep Reasoning Partner"

Suitable tasks:

• Reading complex code, explaining project structure;
• Analyzing bug root causes, proposing multiple repair solutions;
• Planning refactoring/migration solutions (e.g., upgrading from old framework versions to new ones).

Example prompt:

"You are now a senior backend engineer.
I will give you an error log and related code. Please explain step by step:
1) The real reason causing the error;
2) At least two repair approaches;
3) The pros and cons of each repair solution and their impact on performance and maintenance costs;
4) Finally, recommend the most stable solution you think, and provide example code."

Usage tips:

• Provide all information at once: error code, call chain, error stack;
• You can first ask it to only analyze the problem without immediately giving code, letting you understand clearly first.

Scenario 2: Mathematics Learning and Competition Training

Suitable tasks:

• Detailed solutions to high school/university math and physics problems;
• Olympiad and competition problems (such as AIME-type problems);
• Probability theory, mathematical statistics, linear algebra, and other exercises with derivation steps.

Example prompt:

"Below is a math competition problem. Please:
1) First rephrase the question in plain Chinese to ensure I fully understand the conditions;
2) List the complete problem-solving approach and key intermediate steps;
3) Write a standard solution that can be directly transcribed onto a test paper;
4) Additionally point out common mistakes or traps in this type of problem."

Usage tips:

• Don't just ask "what is the answer," but explicitly request: thought breakdown + intermediate steps + common error alerts;
• You can paste your own solution to DeepSeek R1 and ask it to act as a "grader" to help you find gaps.

Case 3: "Logic Director" in Research and Writing

Suitable tasks:

• Reading multiple papers/reports, organizing viewpoints and evidence chains;
• Checking whether your own arguments have logical gaps or causal misuse;
• Designing experimental plans, evaluating risks and benefits of different strategy paths.

Example prompt:

"I will give you several text segments in sequence, from abstracts of different papers. Please:
1) Extract the core viewpoint and evidence of each;
2) Compare their differences in research methods;
3) Point out what you consider the weakest logical link in each;
4) Propose a more rigorous improved design for one of the papers (can include experimental or data plans)."

Usage tips:

• Suitable for use in combination with regular search or literature management tools:
• First use search tools to "find materials";
• Then use DeepSeek R1 for "structured understanding + logical evaluation."

Scenario 4: Complex Business Decisions and Data Analysis

Suitable tasks:

• Deconstructing core assumptions behind marketing plans/growth strategies;
• Extracting problems and improvement directions from multi-dimensional data reports;
• Designing A/B tests and key monitoring metrics.

Example prompt:

"Below is data from our recent round of marketing campaigns (paste key metrics and business context).
Please:
1) Summarize the current business problem in no more than 200 words;
2) Propose 3 sufficiently different optimization strategies;
3) Design actionable A/B test plans for each strategy, including key metrics and expected directions;
4) Point out the two types of risks that need the most attention during execution."

Scenario 5: As a "Thinking Engine" for Multi-agent AI Systems

When collaborating with multiple models, you can have:

• Lightweight models (such as GPT-4o mini, Claude 3.5 Haiku) responsible for grabbing information and quickly generating drafts;
• Then pass intermediate results to the DeepSeek R1 reasoning model, responsible for final judgment, deep reasoning, and risk alerts.

This way you can:

• Ensure both speed and depth of thinking;
• Especially suitable for business scenarios that need to balance "efficiency + rigor."

How to Experience the DeepSeek R1 Model for Free on the XXAI Platform?

For most users, the most convenient way is not to set up your own server, but to directly use the DeepSeek R1 model online through the XXAI multi-model platform.

• XXAI integrates more than a dozen popular AI large models including ChatGPT, Claude 3.5 Sonnet, and Gemini;
• Plans to continuously expand the model list, incorporating more reasoning large models like DeepSeek R1;
• Starting price is only $9.9 per month, while also providing free credits that refresh daily after new user registration.

If you need to quickly generate content, you can first use GPT-4o or Claude 3.5 to write an initial draft; for key parts (algorithm design, mathematical reasoning, complex logic), then switch to the DeepSeek R1 model to do "deep review"; complete it all within the XXAI platform, ensuring both speed and quality.

Summary: Make DeepSeek R1 Your "Deep Thinking Assistant"

If you:

• Want an AI partner that can help you "think things through";
• Are looking for a more reliable reasoning large model than traditional chat models;
• Hope to experience top-tier model capabilities at low cost—

Why not open XXAI now, switch to the DeepSeek R1 model, and starting with a difficult problem, a bug, or a paper, let it truly become your deep thinking assistant.