AI Chatbot DeepSeek Vs Google Gemini Vs ChatGPT: Comprehend the Chronology of Evolution

Why do we need a comparison like DeepSeek Vs Google Gemini Vs ChatGPT?

Technology never runs a solitary race. A rising prospect of innovation would be challenged by multiple competitors—maybe surpassed and defeated, too!

ChatGPT and Gemini are possibly experiencing the same friction. Although they emerged with flying colors in the conversational AI market, their popularity is now shifting towards DeepSeek AI. 

DeepSeek has recently emerged with a colossal velocity from China. With the current transformation in the global business landscape, it is vibrantly thriving as an AI torch-bearer. 

A Statista report says that  DeepSeek AI has created a phenomenal disruption in the conversational AI market. With a minimum price per input/output tokens, this spearheading Chinese chatbot will rule the AI arena in the upcoming days. 

 

The meteoric shoot of DeepSeek with countless business utilities has been selling off the stock market since January 27. Innumerable AI stakeholders are reassessing their investment planning, and certainly, the valuation weightage is more at DeepSeek-R1

But, how did the transformation happen? Why did a tool like ChatGPT, preferably get replaced by Gemini AI, followed by free DeepSeek trashing both of them? 

The reasons are worthy to be discovered. Let’s find out.

Why Will We Choose DeepSeek Over ChatGPT & Gemini? 

 

The longstanding market establishment of ChatGPT & Google Gemini in the LLM ecosystem tends to crumble. Understandably, the rise of DeepSeek AI should be accused of. 

However, this is not another drop in the bucket. An assortment of competitive reasons is constantly pushing this transformation. 

A few stirring reasons for this shift are:

Competitive Performance

With high-scale comprehensive virtue, DeepSeek exhibits a better understanding of human-language queries. At least better than ChatGPT & Google Gemini. 

Be it contextual understanding, intelligent automation, or predictive ability; this new AI storm from China will always win the combat ring of DeepSeek Vs Gemini Vs ChatGPT. 

Cutting-Edge Benefits

With added benefits like cloud storage, DeepSeek offers supplementary advantages to users. Also, context-aware data processing across off-premise infrastructure brings high-end problem-solving reinforcement. 

Be it resource allocation, routine task management, cost optimization, or minimizing downtime, DeepSeek offers better benefits than ChatGPT & Gemini. 

Multiple Benefits

Proficiency, real-time user experience, and adaptability keep DeepSeek ahead of OpenAI’s GPT-4 and Google Gemini. 

DeepSeek also brings more multi-tasking deliveries which makes it ahead of existing chatbots. 

To-the-Point Responses

Gemini’s responses were more accurate, precise, and to-the-point than ChatGPT. But now the responses offered by DeepSeek are more information-forecasting, accurately driven, and well-researched, covering both future anticipation & historical algorithms. 

Multiple Responses

Google Gemini offers 2-3 responses per query. Meanwhile GPT-4 comes up with one response each query. Similar to Gemini 1.5, DeepSeek AI also offers multiple responses.

High Token Limit

The token limit is the number of tokens (characters, words, phrases) that the model can process. Here too, Gemini stands at 1 million tokens. Meanwhile, ChatGPT can handle only 1,28,000 tokens. DeepSeek offers a massive 2 trillion token limit. Just imagine the utility difference brought by China’s DeepSeek-R1. 

In-Built Availability

Get lucky if you are an Android user. Google Gemini is available as an in-built feature in your device. ChatGPT requires external download or browsing. 

As of now, DeepSeek Coder & DeepSeek Chat also require an externally enabled API. It further depends on the business partnering with the Operating System (OS) whether it would be available as a pre-existing application or not. 

Google Service Integration

Now here’s the best part. Gemini extension seamlessly integrates with Google services. The connectivity with Drive, doc, mail, and YouTube will improve your work quality. Will China’s DeepSeek offer such integration, it is yet to be seen!

Free Image Creation

Now, DeepSeek offers free image generation via its AI-powered image generator, Janus-Pro. This tool facilitates users in generating infinite images based on textual prompts.

Value-for-Money

Now comes the most competitive benefit. Paid subscription to Gemini is more advanced and profit-driven than ChatGPT. Meanwhile, DeepSeek comes with an astonishing price chart. DeepSeek R1 paid version will cost you less than 1 dollar per month. This extensive price difference has inversely skyrocketed the stakes of other AI chatbots.  

Gemini & ChatGPT: No Exceptional AI for Contemporary Users

Well, jumping to a direct conclusion is no correct solution. You should make a fair assessment of their features. This will help you with informed decision-making. 

 

So, here we go. Feature comparison of Gemini & ChatGPT. 

Training Model

1. ChatGPT is built on GPT-3.5 or GPT-4 powered by OpenAI.
2. Gemini has four models- Gemini Pro (used for a wide range of tasks), Gemini Ultra (used for highly complex tasks), Gemini Nano (built for mobile devices), and Gemini Pro 1.5 (used for advanced-level tasks). 

User Experience 

1. ChatGPT enables login to a free account with an email address. OpenAI LLMs can also be integrated into third-party software solutions using API. ChatGPT generates images, charts, and videos as a response. This LLM can be used through Microsoft applications including Powerpoint, Outlook, Excel, and Word. 
2. Gemini enables users to modify response size, like/dislike a response, cross-check the information, and export it across Google space including Doc, Sheets, and Gmail. 

Data Source 

• ChatGPT uses research papers, news articles, blogs, books, encyclopedias, publicly accessible websites, and information portals. 
• Gemini uses Google transcript, Google search data, proprietary datasets, audio, videos, texts, and images from Google Ecosystem. 

Data Storage & Privacy

• ChatGPT stores every query and prompts feed to it. Users can review past conversations through the archive function. As per the privacy policy, OpenAI collects user data including phone numbers, email addresses, geolocation data, and network activities. 
• Gemini stores the conversation for 18 months. However, the time can be changed to 3 months or 36 months from the activity setting panel.  

Technical Accomplishments 

• ChatGPT can foster information on multiple domains. However, the pre-trained datasets can often exhibit real-time knowledge deficiency. To excel in conversational engagement and customer support, this is the best chatbot that you can have in your bucket. 
• Gemini solves mathematical problems, generates statistical data, sustains logical consistencies, and leverages educational assistance driven by technical analysis, comprehensive research, and scientific data interpretation. For real-time project management, Google Gemini is the best chatbot you can inculcate in your operations. 

DeepSeek Boutique: An Epitome of AI Chatbot Revolution!

 

Well, after having a feature comparison of ChatGPT & Gemini, let’s explore the DeepSeek cosmos, surpassing their capabilities. 

• DeepSeek LLM

DeepSeek LLM is an advanced Large Language Model that encapsulates 67 billion parameters. Phenomenally trained over large datasets, DeepSeek offers 2 trillion tokens in both English and Chinese languages. To leverage research capability, developers have fostered DeepSeek LLM 7B/67B Base & DeepSeek LLM 7B/67B Cha, an open source privilege for the whole research community. 

 

The four models of DeepSeek LLM are:

1. DeepSeek LLM 7B Base        (Download)
2. DeepSeek LLM 7B Chat         (Download)
3. DeepSeek LLM 67B Base       (Download)
4. DeepSeek LLM 67B Chat       (Download)

 

Some key takeaways of DeepSeek LLM are:

1. The capabilities of DeepSeek LLM models are reasoning, mathematics, coding, and Chinese comprehension. 
2. The training data modules cover a diverse blend of codes, mathematical algorithms, self-accumulated data, and internet texts. 
3. The system aligns with heuristic rules and structures to polish the data-training format. 
4. The filtering & refining process eradicates low-quality datasets and sustains the high-quality data modules. 
5. With enabled sensor integration, DeepSeek bans toxic & harmful content. 
6. The advanced deduplication system uses MinhashLSH to remove content duplicacy at both document and string levels. This will ensure uniqueness, integrity, and ethics of large-scale datasets. 

 

• DeepSeek Coder

This model comprises an assortment of code languages with 2 trillion token limits, 87% code blending, and 13% natural language in Chinese & English language. The code model varies from 1B to 33B versions, pre-trained on project-level code corpus, with 16K window bandwidth and additional fill-in-the-blank task to encourage project-level code writing and infilling. Among many other open-source code models, DeepSeek Coder demonstrates state-of-the-art performance at countless benchmarking parameters. 

 

Some key takeaways from the DeepSeek Coder: 

1. It has colossal training data with 2T tokens, 13% linguistic datasets, and 87% code data. 
2. DeepSeek Coder offers multiple model versions of 1B, 5.7B, 6.7B, and 33B, as per the requirement of your operational setup. 
3. It is the best performing AI coder among all open source code models on MultiPL-E, HumanEval, DS-1000, MBPP, and APPS benchmarks.
4. With 16K window bandwidth and a fill-in-the-blank task, DeepSeek offers high project-level coding and infilling tasks.

 

Find out the in-depth evaluation of DeepSeek Coder. 

• DeepSeek Maths

DeepSeekMath is configured with DeepSeek-Coder-v1.5 7B with natural language and code data for 500B tokens. DeepSeekMath 7B attains the score of 51.7% on the competition-level mathematics without any voting techniques, almost reaching the performance-level of GPT-4 and Gemini-Ultra. 

 

The three fundamental models are: 

1. DeepSeekMath-Base 7B         (Download)
2. DeepSeekMath-Instruct 7B     (Download)
3. DeepSeekMath-RL 7B            (Download)

 

Key takeaways from DeepSeek Maths:

1. This offers mathematical problem-solving capabilities with step-by-step guidelines. 
2. It leverages reasoning, understanding, and code compilation. 
3. DeepSeek Maths outperforms other AI chatbots by 10% with few-shot chain-of-thought prompting. 

 

• DeepSeek VL 

DeepSeek-VL is an open-source Vision-Language, specifically designed for real-world vision and language understanding. It manufactures multimodal capabilities, logical diagrams, scientific literature, formula recognition, web pages, and natural images.

 

The four models of DeepSeek VL are: 

1. DeepSeek-VL-1.3B-base         (Download)
2. DeepSeek-VL-1.3B-chat          (Download)
3. DeepSeek-VL-7B-base            (Download)
4. DeepSeek-VL-7B-chat             (Download)

 

Know more about DeepSeek-VL as a Real-World Vision-Language understanding

• DeepSeek V2

DeepSeek-V2 is a magnanimous Mixture-of-Experts (MoE) language model driven by budget-friendly training & economical interface. It has 236B parameters with 42.5% reduced training cost, 93.3% reduced KV cache, and 5.76 times throughput improvement. 

 

The four models of DeepSeek V2 are: 

1. DeepSeek-V2-Lite                           (Download)
2. DeepSeek-V2-Lite-Chat (SFT)        (Download)
3. DeepSeek-V2                                  (Download)
4. DeepSeek-V2-Chat (RL)                 (Download)

 

• DeepSeek Coder V2

DeepSeek-Coder-V2 is again an open-source Mixture-of-Experts (MoE) coding model, quite similar to GPT4-Turbo in code-specific performance. With a 6 trillion token limit and window bandwidth from 16K to 128K DeepSeek-Coder-V2 offers significant results in maths, reasoning, and coding capabilities. 

 

The 5 models of DeepSeek-Coder-V2 are:

1. DeepSeek-Coder-V2-Lite-Base            (Download)
2. DeepSeek-Coder-V2-Lite-Instruct         (Download)
3. DeepSeek-Coder-V2-Base                   (Download)
4. DeepSeek-Coder-V2-Instruct                (Download)

 

• DeepSeek V3

And finally, DeepSeek-V3 is also a Mixture-of-Experts (MoE) language model with 671B window bandwidth, 14.8 trillion token limit, and Multi-head Latent Attention (MLA) & DeepSeekMoE architecture. 

 

The two models of DeepSeek DeepSeek V3 are:

1. DeepSeek-V3-Base (Download)
2. DeepSeek-V3          (Download)

 

DeepSeek Vs Google Gemini Vs ChatGPT: Difference in API Integration

To integrate the AI system into the applications, API keys of ChatGPT and Gemini are vital for developers. 

 

So, here is a step-by-step guideline for accessing their respective API keys. 

Google Gemini

Following are the steps to obtain Google Gemini access keys. 

Step 1: Sign in to Google AI Studio

Go to the Google AI studio and sign in to your Google account. 

Step 2: Create API Key

1. Click “Get API key”
2. Select “Create API key”
3. Accept safety pop us
4. Select “Create API key in new project”
5. Securely store the key generated

Step 3: Set up API Key

1. create ~/.bashrc file.
2. Add code: export GEMINI_API_KEY=<YOUR_API_KEY_HERE>
3. Save the file and run source ~/.bashrc to apply the changes.

Step 4: API Integration into the App

Install the Gemini API library and make a request to integrate the API into the application. You can also refer to the Gemini API quickstart guide to understand the process better. 

Know the Must-Have Features of Gemini API

The fundamental features of Gemini API would be:

1. Image generation 
2. Text generation
3. Audio processing
4. Text-to-speech conversion
5. Speech-to-text conversion
6. Image & speech visualization

ChatGPT

Following are the steps to obtain ChatGPT API keys. 

Step 1: Sign Up / Login

Go to the OpenAI API platform. Either log in or sign up with Google, email, or Microsoft credentials. 

Step 2: Create API Keys

1. Click on profile icon at the top right corner
2. Select “API keys” or get direct access via API keys page
3. Select “Create New Secret Key”.
4. Store the generated API key securely. 

Step 3: Set Up API Keys

For local environment, put the command: export OPENAI_API_KEY=”<your-api-key>”

To set up API within code, put the command:

 

import openai

 

openai.api_key = “<your-api-key>”

response = openai.Completion.create(

    engine=”text-davinci-003″,

    prompt=”Hello, world!”,

    max_tokens=50

)

print(response)

Step 4: Test API Keys

Confirm the API key functionality using the command: 

 

curl https://api.openai.com/v1/completions \

-H “Authorization: Bearer <your-api-key>” \

-H “Content-Type: application/json” \

-d ‘{

    “model”: “text-davinci-003”,

    “prompt”: “Say this is a test”,

    “max_tokens”: 5

}’

Step 5: Monitor API Usage

Visit usage page to manage API call, cost, and limit.

Step 6: Security Management

Ensure not to expose your API keys across public repositories. In case of any suspicious activity, consider regenerating the API keys. 

Know the Must-Have Features of ChatGPT API

The fundamental features of ChatGPT API would be:

1. Quick response
2. SEO content writing
3. Language translation 
4. Personalized responses 
5. Creative offerings

DeepSeek AI: An Easy-to-Go API Integration Method

Now, know the steps of integrating DeepSeek API across your application. 

1. Open the preferred browser.
2. Feed the official platform address (platform.deepseek.com).
3. Navigate to the official website.
4. Login to your account by using your email address, Google ID, or Apple ID.
5. Click on the three bars available at the top left corner of the redirected page.
6. Navigate to the API key option.
7. Click “Create new key” and allocate a name or description for the key.
8. Enable accessibility or permission as per the requirement & use.
9. Copy & save the key after API generation.
10. To prevent unauthorized access to premium features & higher request limits, set up the billing account. 
11. In order to do that, you can navigate to the billing section of the account and set up payment details.
12. Incorporate the API key in your script or application by distributing it in the headers or authentication fields as per the DeepSeek API documentation. 
13. Get a reference from the DeepSeek AI documentation for fetching the details of authentication methods, API endpoints, sample code, and rate limits.  

 

ChatGPT for SEO / Gemini for Image Generation / DeepSeek is a 360-degree Player

If we talk about the business utility Open AI’s ChatGPT, Google Gemini, and DeepSeek V3 have distinct business utility. 

ChatGPT is a winning AI for Search Engine Optimization. Gemini is more visual-focused. DeepSeek V3 is almost a team player. 

Let’s evaluate them. 

ChatGPT for SEO

1. ChatGPT is an effective tool for performing keyword research, fostering SEO-friendly content, and developing organic marketing strategies. Thus, in the SEO vertical, ChatGPT is a champion.  
2. ChatGPT also helps you craft meta titles, meta descriptions, blog posts, web pages, and marketing copies as per the algorithm’s proximity to Google. 
3. This conversational AI is also an expert in creating audience-specific content, quick ideation, actionable insights, personalized content, evidence-based datasets, and demographic-fulfilling writeups.    
4. The bottom line of ChatGPT is to improve website ranking, augment user engagement, streamline tasks, and accumulate high traffic for your website.

Gemini for Image Generation

1. Gemini is an image-focus AI-powered chatbot that has been specifically designed to produce high-quality visuals per user-fed prompts. 
2. Gemini caters to multiple creative needs starting from end-to-end creative marketing layouts, appealing product design, and diverse artistic verticals. 
3. Gemini has an outstanding capability of interpreting text descriptions and producing a compelling image for UI/UX design, websites, digital advertisement campaigns, and other online media. 

DeepSeek is a 360 Degree Player 

1. With human-inclined conversation, multilingual support, and context retention, DeepSeek offers the best version of image generation, text generation, mathematics solving, chat assistance, and reasoning. 
2. When it comes to code generation, code debugging, and code assistance; DeepSeek is the next-door partner for developers and testers. 
3. With complex symbolic reasoning, advanced problem-solving, and high-end arithmetic calculation; DeepSeek resolves the best computational task for users. 
4. DeepSeek offers open-weight models for LangChain support integration, on-premise AI deployment, and quick-fix API services.

Key Difference

1. While ChatGPT drives organic traffic through optimized textual content, Gemini creates visually compelling assets to engage audiences. DeepSeek leverages both SEO and visual generation. 
2. ChatGPT is ideal for digital marketing strategists, whereas Gemini empowers designers and visual storytellers. DeepSeek capitalizes on both marketing campaigns and visual elements. 
3. Together, ChatGPT & Gemini can create a holistic content strategy, combining impactful text with captivating visuals for maximum audience impact. DeepSeek can single-handedly manage them all. 

Know the 3 Best Alternatives to DeepSeek, ChatGPT & Gemini

So, now we know that Gemini and ChatGPT are the two powerful AI bots trending in the market. However, there are other brands too, voraciously emerging in the market. 

 

So, these are the 3 chatbots that are serving as an alternative to ChatGPT and Gemini. 

Perplexity

1. Perplexity AI combines conversational abilities with real-time internet search, offering up-to-date information. 
2. Unlike ChatGPT’s static pre-training, it excels in fact-checking and research, providing transparent source citations. 
3. It’s an ideal alternative for users needing accurate, timely answers over creative text generation or image synthesis.

Claude

1. Claude focuses on ethical and aligned AI interactions, prioritizing safe and thoughtful responses. 
2. It rivals ChatGPT in natural language tasks like brainstorming, customer support, and collaboration. 
3. With enhanced safety measures, it’s a strong alternative for sensitive applications requiring reliability, nuanced understanding, and ethical AI behavior.

Meta AI

1. Meta AI bridges text and image creation, offering alternatives to both ChatGPT and Gemini.
2. Its tools, like LLaMA, handle advanced textual conversations, while its visual-generation capabilities cater to creative needs. 
3. Meta AI provides a versatile ecosystem for businesses seeking integrated generative AI solutions for text and graphics.

DeepSeek Vs ChatGPT Vs Google Gemini: A Comprehensive Comparison of Free and Paid Plans

Let’s compare the free and paid plans of DeepSeek, ChatGPT, and Google Gemini. 

ChatGPT Free Plan

ChatGPT free plan offers you: 

Features

1. Access to GPT-3.5, a highly capable language model.
2. Supports basic tasks like drafting emails, simple queries, and casual brainstorming.
3. Limited response speed during high-traffic periods.

Limitations

1. Restricted access to advanced models like GPT-4.
2. Limited customization and API usage.

Google Gemini Free Plan

Google Gemini’s free plan offers you:

Features

1. Access to foundational text-based capabilities with limited multimodal integration.
2. Basic tasks like Q&A, simple content creation, and data-driven insights.
3. Free access to basic image generation features.

Limitations

1. Restricted use of advanced multimodal functionalities.
2. Limited concurrent usage and slower processing times during peak hours.

DeepSeek Free Plan

DeepSeek free plan offers you: 

Feature 

1. Complete accessibility to core features and functionalities. 
2. Open source availability for all users. 
3. No financial restrictions for users. 

Limitation

1. Self-installation required. This is often a barrier for those who lack decent hosting infrastructure. 
2. An infrastructural budget followed by scaling costs would add up to the company’s expenses. 
3. Since not much is known about this AI chatbot, there can be data privacy concerns. 

 

ChatGPT Paid Plans (ChatGPT Plus & Enterprise Plans)

ChatGPT Plus offers you:

Price

$20/month.

Features

1. Priority access to GPT-4, offering more accurate and creative responses.
2. Faster response times and reliability even during peak traffic.
3. Enhanced customization for diverse use cases.

Ideal For

Content creators, small businesses, and professionals who need advanced text generation.

Enterprise Plans offer you: 

Features

1. Scalable solutions tailored for organizations.
2. Advanced data security, compliance features, and dedicated API access.
3. Pricing varies based on usage and organization size.

Ideal For

 

Large-scale enterprises and industries like education, healthcare, and e-commerce.

Google Gemini Paid Plans (Standard Paid Plan & Enterprise Plans)

Standard Paid Plan offers you:

Price

Starts around $25/month (variable based on usage).

Features

1. Access to advanced text and image generation models.
2. Enhanced multimodal functionalities for complex tasks.
3. Faster processing times and priority access.

Ideal For

Designers, marketers, and businesses require integrated text-image solutions.

Enterprise Plans offer you:

Features

1. Tailored solutions with scalable multimodal API access.
2. Exclusive tools for data analysis and large-scale deployments.
3. Custom pricing based on specific requirements.

Ideal For

Enterprises focusing on creative industries and data-driven workflows.

DeepSeek Pain Plan

DeepSeek paid plan attribution are: 

Price

>$1/month

Features

1. Advanced AI model
2. High scalability for both small and large size projects
3. Better pricing compared to ChatGPT & Gemini

Idle For 

Marketing geeks, entrepreneurs, students, corporate firms, small businesses, mid-size businesses, and large global corporations. 

DeepSeek Vs Gemini Vs ChatGPT: Which Should I Choose? 

Although ChatGPT has a slight edge over Gemini in terms of coding capabilities, both Gemini and ChatGPT offer excellent features in their respective domains.

So, if you have to make a pick:

Choose Google Gemini if 

1. You need multimodal capabilities, seamless Google Workspace integration, or concise responses to queries. 
2. You are a professional who work extensively with Google apps or need assistance across text, image, and video formats. 
3. You are heavily integrated into the Google ecosystem including Search, Maps, Workspace, and Cloud AI, offering deep integration and productivity benefits.
4. You value task automation and AI-powered solutions for managing complex workflows. Gemini’s proactive capabilities and real-time data integration from Google’s infrastructure can streamline operations.

Choose ChatGPT if:

1. You prioritize conversational depth, coding expertise, or creative content generation. It’s the ideal choice for developers, content creators, and anyone needing a flexible, intelligent assistant for diverse tasks. 
2. You need a tool with broad accessibility and support for various third-party applications. ChatGPT integrates easily into diverse platforms and industries, from customer support to application development.
3. You prefer transparency in AI research and development. OpenAI’s iterative and community-driven approach ensures that ChatGPT is continuously improving and widely adaptable.

Choose DeepSeek if:    

1. You want budget-friendly chatbots with economical token limits for content creators, SEO experts, and developers. 
2. You are looking forward to small problem-solving and reasoning capabilities. 
3. You prefer tailor-made and open-weight solutions for research and enterprise needs. 
4. You are seeking easy integration, agile scalability, and high business deliveries. 

DeepSeek Vs ChatGPT Vs Gemini: A Full-Fledged Table Comparison

Feature	DeepSeek	ChatGPT (GPT-3.5/4)	Gemini
Developer/Organization	DeepSeek AI	OpenAI	Google
Primary Focus	Cost-effective, efficient training, open-source focus	Conversational AI, general-purpose text generation	Multimodal AI, advanced reasoning, diverse data handling
Model Architecture (General)	Transformer-based (details often less publicly available than OpenAI/Google models)	Transformer-based (GPT architecture)	Transformer-based (Gemini architecture, details being released progressively)
Training Data	Large datasets, likely including web data, code, and potentially other sources. Specifics are often less transparent.	Massive datasets of text and code from the internet, books, etc.	Diverse multimodal datasets including text, images, audio, video, and potentially code.
Strengths	Competitive performance at lower cost, open-source friendly, good for research and specific domain adaptation.	Excellent conversational abilities, strong text generation, widely adopted, large user base, extensive API ecosystem.	Advanced reasoning and problem-solving, multimodal capabilities (text, images, code, etc.), designed for complex tasks, integration with Google services.
Weaknesses	Transparency and documentation can be less detailed compared to OpenAI/Google. Potential biases in training data. Community support may be smaller.	Can "hallucinate" facts, sometimes generates incorrect or nonsensical outputs, requires access to OpenAI's API (paid), and potential biases in training data. Performance varies between models (3.5 vs. 4).	Relatively newer models, availability may be limited depending on specific Gemini versions, performance in all modalities still being evaluated by the community. Potential biases in training data.
Use Cases	Research, development, domain-specific applications, cost-sensitive projects, open-source projects.	Chatbots, customer service, content creation, education, code generation, general-purpose text tasks.	Complex problem-solving, scientific research, creative projects, multimodal applications, integration with Google services, potentially robotics and other embodied AI.
Availability	Open-source models and APIs available, potentially through various platforms.	API access through OpenAI (paid), ChatGPT web interface (paid or free tier).	Access varies by Gemini version. Some APIs and access points are being rolled out. Integration with Google products is a key strategy.
Cost	Generally lower training and usage costs compared to ChatGPT/Gemini, especially for open-source models.	Varies depending on usage and model (GPT-3.5 vs. GPT-4). Can be significant for high-volume usage.	Pricing models and access tiers are still being developed and released. Likely to vary by Gemini version and usage.
Multimodal Capabilities	Limited information available, likely focused on text.	Primarily text-based, but some multimodal features are being explored.	Designed to be inherently multimodal, handling text, images, code, and other modalities.
Context Window	Varies depending on the specific model version.	Varies by model version (e.g., 8k tokens for GPT-3.5-turbo, 32k for GPT-4).	Varies by Gemini version. Context window size is a key area of development.
Fine-tuning	Possible for adapting to specific tasks and domains.	Possible through OpenAI's API.	Fine-tuning capabilities will likely be a key part of the Gemini platform.

Summing Up

DeepSeek, ChatGPT, and Gemini are effective user-centric and responsive tools offering decent free versions to users. However, you have to hand-pick one enforcement as per your operational requirement. 

ChatGPT is more of a content expert and Gemini has a bit more inclination towards visual generation. DeepSeek understandably comes with holistic capabilities that cover the functions of both Open AI’s ChatGPT and Google Gemini. 

The right industry expert like TechGropse helps you choose the right conversational AI.