When to use which AI model

Our website features a variety of AI models from leading global developers: OpenAI, Anthropic, DeepSeek, Google. Here you will find fast and smart models, as well as the most advanced models capable of reasoning. They all have their strengths and weaknesses, and they perform differently in different types of tasks. In this guide, we have prepared general recommendations that will tell you which model is best suited for a particular task.

GPT 4.1 mini

GPT 4.1 mini is a general-purpose AI model that provides a balance between intelligence and speed. The mini model matches or sometimes even surpasses the full GPT 4.1 model in some tasks.

GPT 4.1 mini is ideal for:

• generating short-form content (such as tweets or emails),
• summarizing and paraphrasing articles,
• answering common questions,
• explaining code snippets,
• debugging common errors,
• short translations.

Example prompts:

• Summarize this 500-word article in 3 bullet points.
• A customer asks: 'How do I reset my password?' Provide a clear, step-by-step response in under 50 words.
• Write a Python function that takes a list of numbers and returns the average. Explain each step.
• Give me 5 catchy headlines for a blog post about sustainable fashion.
• Translate this English sentence into Spanish in a friendly, casual tone.

Since it's a lighter model, try to avoid vague questions or long prompts. It is not optimal to use GPT 4.1 mini for complex reasoning tasks (advanced math, deep analysis), long-form content (full research papers, detailed reports), and highly creative writing (novel chapters, poetry with deep metaphors).

GPT 4.1

GPT 4.1 is the flagship model of the 4.1 model suite. It does a great job on long-context processing, coding performance, and overall intelligence compared to GPT 4o.

GPT 4.1 is best for:

• complex tasks without advanced reasoning,
• multi-layered queries,
• long-form articles (2000+ words with coherent structure),
• technical writing,
• creative storytelling (novel chapters, scriptwriting)
• SEO-optimized blog posts with strategic keyword integration.

Example prompts:

• Act as a philosophy professor explaining Kant's categorical. Provide 3 real-world application examples and anticipate 2 common student misunderstandings.
• Optimize this Python code for processing large CSV files (provide code). Include memory management considerations and suggest parallel processing approaches.
• Explain quantum computing principles to a mechanical engineer transitioning into tech. Use 2 concrete analogies from classical mechanics.
• Write a 1,200-word expert guide on 'The Future of Renewable Energy in Europe' with 5 subsections, including statistics from 2023-2024. Maintain an academic but accessible tone.

GPT 4.1 can handle complex queries and engage in natural conversations where subtle context and tone shifts matter. Improved factual accuracy reduces hallucinations compared to earlier version, but still requires fact-checking for critical data, especially involving recent events after the knowledge cutoff date, which is June 1^st, 2024.

o3

OpenAI o3 is one of the most intelligent models ever released, and it’s much more efficient than its predecessor, OpenAI o1. This model was trained longer before responding because more compute means better performance.

OpenAI o3 can:

• produce detailed and thoughtful answers in the right output formats,
• tackle multi-faceted questions effectively,
• analyze images (read handwritten notes, for example)
• excel in areas like programming, business, consulting, and creative ideation,
• generate and critically evaluate novel hypotheses—particularly within math, biology, and engineering contexts.

Example prompts:

• Review pipelines metrics, visualize the data, and search for new top of funnel strategies.
• Write a Python function to compute the longest increasing subsequence. Explain time complexity.
• Find an input that causes this recursive function to stack overflow.
• Given these material properties, predict the stress points in this bridge design.
• What experimental controls are missing from this biology study?

OpenAI o3 is your pocket strategic thinker fit for long-term planning and decision-making. o3 not only gives you answers but explains logic behind them. Take for example this “find this location” query:

OpenAI o3 not only guessed Palermo correctly, but also gave us the reasoning: the model recognized Monte Pellegrino in the background, and identified tri-colored wooden boats as Sicilian gozzi.

o4 mini

OpenAI o4 mini is almost as powerful as o3, and a bit faster. It’s a fair trade-off. This model is ideal for complex queries requiring deep analysis and whose answers may not be immediately obvious. o4 mini is both smarter and cheaper than its predecessor, o3 mini.

OpenAI o4 mini is optimized for:

• fast reasoning with exceptionally efficient performance in math, coding and visual tasks,
• quick STEM-related queries,
• engaging in natural conversations, since the model references past conversations to make responses more personalized and relevant,
• basic programming assistance,
• summarizing academic articles,
• CSV analysis.

Example prompts:

• Extract key data points from this CSV file.
• I got this error: "TypeError: unsupported operand type(s) for +: 'int' and 'str'". Here's my code: `total = 10 + "5"`. Fix it and explain the issue.
• Write a Python function to calculate the Fibonacci sequence up to the nth number in under 10 lines.
• Summarize the key findings of this scientific article in 3 bullet points.
• I uploaded a bar chart showing monthly revenue for Q1 2024. Identify the month with the highest revenue and suggest a possible reason.

Speed and precision with technical tasks make OpenAI o4 mini perfect for students, developers, and analysts.

Gemini 2.5 Flash

Gemini 2.5 Flash is a fast and versatile artificial intelligence model designed for a wide variety of tasks, from code generation to natural conversation.

The model is especially good at:

• reasoning with images,
• multi-turn conversations,
• long-form text analysis,
• explaining complex topics for both general audiences and those with a technical background,
• problem solving in code generation,
• writing and editing assistance.

Example prompts:

• Summarize this entire research paper, highlighting the key findings and methodology.
• Based on this conversation transcript, what are the main points of contention between the two speakers?
• Given this image of a circuit diagram, can you explain how it works?
• Write a short story about a brave knight and a friendly dragon. Illustrate the story, keeping the characters consistent throughout.
• Explain the concept of quantum computing in simple terms, then provide a more technical explanation for someone with a computer science background.

Gemini 2.5 Flash has thinking capabilities, which lets you see the thinking process that the model goes through when generating its response. Gemini 2.5 Flash also includes multimodal capabilities, meaning it can process and generate outputs across text, images, audio, and video.

Gemini 2.5 Pro

Google DeepMind’s Gemini 2.5 Pro is a cutting-edge AI model designed for complex reasoning, long-context understanding, and multimodal capabilities. It stands as a more advanced and versatile alternative to Gemini 2.5 Flash, offering deeper analysis and better performance for demanding tasks.

Gemini 2.5 Pro is ideal when you need:

• deep reasoning (e.g., technical research, financial analysis, legal document review),
• long-context processing (handling up to 1 million tokens, meaning it can digest entire books, or lengthy reports),
• multimodal understanding (the model can interpret text, images, audio, and video),
• strong technical and creative performance (code debugging, content creation, scientific research assistance).

Example prompts:

• Rewrite this blog post for better SEO. Target keywords: ‘best LLM for business 2024’.
• Convert this doctor’s handwritten notes (image upload) into structured EHR entries.
• Evaluate these 50 student essays on ‘Macbeth’ and highlight recurring grammar errors.
• Transcribe this 30-minute investor call (audio), then list 3 key growth strategies mentioned.
• Extract all mentions of ‘cybersecurity budget’ in these 500 pages of FOIA-released documents.

Gemini 2.5 Pro is the most powerful artificial intelligence model released by Google. It gives high-quality outputs where speed is secondary to accuracy and improved logical capabilities (for instance, in detailed summaries, code generation, or strategic multi-step planning).

Claude 3.5 Haiku

Claude 3.5 Haiku, developed by Anthropic, is a lightweight, and fast AI model designed for efficiency without compromising quality. Claude 3.5 Haiku shows increased capabilities in nuanced content creation, code generation, and conversing in non-English languages like Japanese, Spanish, and French.

The model is optimized for:

• blazing-fast responses – one of the quickest AI models available, with near-instant replies,
• real-time translation,
• creative writing,
• data extraction and summarization,
• quick code fixes with explanations.

Example prompts:

• Write a catchy tagline for a new eco-friendly clothing brand.
• Analyze this dataset: {Sales: Q1: $10k, Q2: $12k, Q3: $15k}. Suggest a trend and recommendation.
• Summarize this 500-word article about renewable energy trends in 50 words or less.
• Write a Python function to calculate the factorial of a number.
• A customer says, ‘My order hasn’t arrived.’ Generate a polite, helpful response with next steps.

Claude 3.5 Haiku is a solid choice for users needing a fast model for tasks requiring near-instant responses, like coding, content moderation, and extracting knowledge from unstructured data.

Claude 3.7 Sonnet

Claude 3.7 Sonnet is a highly intelligent model with reasoning capabilities. More precisely, it’s a hybrid model, meaning it can switch between thinking mode for complex problem solving and standard mode for simpler tasks such as answering common questions, or engaging in conversation.

Some real-world use cases of Claude 3.7 include:

• videogame development (procedural content generation),
• mobile development (reducing APK size by 42% through automated optimization),
• code review (reducing review cycles from 45 to under 5 minutes),
• legal documents review (reducing time from 6 hours to 18 minutes),
• fraud detection in finance (accuracy improvement from 89% to 96.7%).

Example prompts:

• Write a series of social media posts promoting a new line of sustainable clothing, incorporating different tones and calls to action.
• Given a list of product IDs, write a function that retrieves the corresponding product information from an API.
• Refactor this Python class to follow SOLID principles, with comments explaining each change.
• Convert this technical spec (PDF/image) into a beginner-friendly user guide with screenshots.
• Identify any non-compete clauses in this employment contract (PDF) that exceed California legal limits.

Claude 3.7 is exceptionally good in math, physics, in-depth analysis, creative writing, and competition coding. The model can write complex code across multiple programming languages, create documentation and explain technical concepts, handle both frontend and backend development tasks.

DeepSeek-V3

DeepSeek-V3 is a reliable choice for most everyday tasks. It delivers accurate, well-structured responses across virtually any subject, making it ideal for general knowledge queries, brainstorming, and content generation. Where V3 truly excels is in its ability to engage in natural, fluid conversations while also demonstrating impressive creativity, whether in storytelling, analogies, or problem-solving.

This model is particularly strong in:

• writing and content creation,
• providing clear, concise answers to frequently asked questions,
• generating unique ideas for projects, names, or artistic prompts,
• basic-mid level technical assistance,
• language translation.

Example prompts:

• Respond as a friendly customer service rep helping a user whose delivery is late. Offer solutions without sounding robotic.
• Write a 700-word travel blog about Kyoto in spring, focusing on hidden temples and local cuisine.
• Summarize the causes of World War I in a 10-bullet timeline for high school students.
• Turn this messy draft into a professional client email.
• Compare iPhone 15 and Pixel 8 specs in a table. Highlight which is better for photographers.

While it may not specialize in ultra-niche technical tasks like some coding-focused models, DeepSeek-V3 balances broad knowledge, accessibility, and conversational charm—making it an excellent all-purpose assistant for both personal and professional use.

DeepSeek-R1

DeepSeek-R1 is a powerful artificial intelligence model with advanced logical and mathematical reasoning. What sets reasoning models like DeepSeek-R1 apart from traditional large language models is the ability to show how they arrived at a conclusion. That way you can follow the logic behind the answer, and, if necessary, challenge the output.

Among this model’s strengths are:

• superior performance in STEM-oriented domains (particularly mathematics, physics, and computer science),
• enhanced capacity for maintaining logical consistency throughout extended reasoning chains,
• solving advanced coding challenges with optimal efficiency,
• breaking down multi-layered problems into discrete, solvable components.

Example prompts:

• Solve this Towers of Hanoi problem with 6 disks, providing optimal move sequences and time complexity analysis.
• Design a decision tree algorithm to evaluate loan applications, considering income, credit score, and employment history. Explain each branching logic step.
• Rewrite this text using simpler vocabulary and shorter sentences.
• Summarize findings from this experiment into a report. Highlight key metrics and recommendations.
• Analyze the pros and cons of using a decision matrix for this problem.

DeepSeek-R1 stands out for its logical thinking combined with high-speed processing. If you need a chatbot for niche tasks like complex math problems or technical writing, R1 is a powerful choice.

Conclusion

Selecting the right AI model is a process that requires considering the specifics of your tasks, the volume of data, and the desired results. Each model has unique strengths: some are optimized for speed and cost-effectiveness, while others excel at handling complex queries that require deep analysis or creativity. The variety of available solutions allows for a flexible approach to solving problems, whether it is business process automation, content creation, software development, or data analysis.

We encourage you to experiment with the different models presented on our site to determine which one best suits your needs. The answers and results you get may vary depending on the model you choose, so testing several options will help you find the optimal solution. Whether you are looking for maximum performance or looking for a balance between quality and cost, the variety of AI tools opens up ample opportunities to achieve your goals. Start exploring today and discover the potential of modern technology!