👾AI models
The article discusses artificial intelligence models on which you can build your own virtual managers.
Nineteen AI models are available in the Selarti service: gpt-5, gpt-5-mini, gpt-5-nano, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-4.5-prewiew, gpt-o3, gpt-o3-deep-research, gpt-o4-mini, gpt-o4-mini-deep-research, gpt-o3-pro, gpt-o1-pro, gpt-o1, gpt-o3-mini, gpt-4o, gpt-4o-mini, gpt-4-turbo and gpt-4-turbo-preview. These models differ in functionality, performance and price, allowing you to choose the most suitable one for specific tasks.
At the moment we work with the response API, which allowed us to add all relevant models to the AI settings.
This resource is an open source; data uploaded to it becomes available to OpenAI. Encryption is absent.
You can review the differences of the models on the official OpenAI website, or you can read below in the article. You can also review Selarti pricing here.
Comparative table of AI models
Context window — the amount of text the model can view and process to generate a response. The larger it is, the more context from the dialogue the model will remember during a long conversation.
gpt-5
$1.50
$12.00
400000
Medium
Sales, training, consulting, strategy
High
Effort of reasoning and verbosity
gpt-5-mini
$0.30
$2.40
400000
Above average
Customer support, CRM, assistants
Above average
Effort of reasoning and verbosity
gpt-5-nano
$0.06
$0.48
400000
High
FAQ, autoresponders, mass processes
Medium
Effort of reasoning and verbosity
gpt-4.1
$2.40
$9.60
1047576
Medium
Content, analytics, texts
Above average
Creativity and variety
gpt-4.1-mini
$0.48
$1.92
1047576
Above average
General tasks, support
Medium
Creativity and variety
gpt-4.1-nano
$0.12
$0.48
1047576
Very high
Simple answers, notifications
Below average
Creativity and variety
gpt-4.5-prewiew
$90.00
$180.00
128000
Medium
Development, testing, research
No information yet
Creativity and variety
gpt-o3
$2.40
$9.6.0
200000
Very high
Simple answers, support
Highest
Effort of reasoning
gpt-o3-deep-research
$12.00
$48.00
200000
Slow
Analytics, data processing
Highest
Creativity and variety
gpt-o4-mini
$1.32
$5.28
200000
Medium
Everyday tasks, texts
Above average
Effort of reasoning
gpt-o4-mini-deep-research
$2.40
$9.60
200000
Medium
Analysis, summarization, reports
Above average
Creativity and variety
gpt-o3-pro
$24.00
$96.00
200000
Very slow
Long dialogues, recruiting
Highest
Effort of reasoning
gpt-o1-pro
$180.00
$720.00
200000
Very slow
Tests, demonstrations
Above average
Effort of reasoning
gpt-o1
$18.00
$72.00
200000
Slow
Tests, demonstrations
Above average
Depth of thought
gpt-o3-mini
$1.32
$5.28
200000
Medium
For logical tasks, programming, data work, complex assistants
Above average
Depth of thought
gpt-4o
$3.00
$12.00
128 000
Medium
Working with text and images
Medium
Creativity and variety
gpt-4o-mini
$0.18
$0.72
128000
Above average
Visual tasks, fast responses
Below average
Creativity and variety
gpt-4-turbo
$12.00
$36.00
128000
Medium
General tasks, content, support
Below average
Creativity and variety
gpt-4-turbo-preview
$12.00
$36.00
No information yet
No information yet
New features, tests
No information yet
Creativity and variety
Input and output prices are indicated per 1 million tokens.
The table does not contain all information about models available for early access — the capabilities information is still being gathered.
Below we describe the features of the models in a bit more detail, and at the end of the article we share our experience and observations about creating the Ilyusha bot on the o3 and GPT-4o models.
gpt-5
OpenAI's flagship model of 2025. Understands complex contexts, emotions, intentions, and subtexts. Can reason, joke, remember communication style, and adapt to a brand. Excellent for AI characters that should behave like real employees.
Recommendations: Choose this if you need an intelligent, "human" AI that not only answers but thinks, analyzes and speaks deliberately.
Examples of use:
AI sales manager capable of negotiating and handling objections.
HR bot conducting interviews and evaluating candidates' answers.
Premium assistant supporting personalized dialogues with customers.
AI coach, consultant, scriptwriter, analyst.
Not recommended: If speed and low cost are required for simple tasks (for example, an FAQ bot or autoresponder).
gpt-5-mini
A lightweight version of gpt-5. Retains almost all the intelligence of the senior model, but pays slightly less attention to nuances and subtle emotional moments. Results are still high-level, but responses are shorter and faster.
Recommendations: An optimal option for most companies — a balance of realism, speed and price.
Examples of use:
Online store online consultant.
Assistant for selecting tariffs and services.
Customer success manager.
AI assistant for CRM or website.
Not recommended: For ultra-creative or analytical scenarios — better to choose gpt-5 or gpt-4.1.
gpt-5-nano
Economy version of gpt-5, designed for short, quick and simple responses. Does not reason deeply, but handles template tasks well.
Recommendations: For mass bots, autoresponders and 24/7 support.
Examples:
Autoresponder: “We have received your request”, “An operator will reply shortly.”
FAQ bot: “How do I place an order?”, “How do I return a product?”
AI agent for notifications and short prompts.
Not recommended: If the bot must converse like a human or provide detailed answers.
gpt-4.1
A reliable model capable of generating texts, scripts, ideas, and analyzing data. Best suited for creative and content tasks.
Recommendations: For projects where the AI must write beautifully, logically and interestingly.
Examples:
AI copywriter for social networks, blogs, newsletters.
Scriptwriter or author of educational materials.
Analyst creating reports, summaries, conclusions.
Assistant for marketing or content department.
Not recommended: If a conversational style and emotional adaptation are required (use gpt-5 for that).
gpt-4.1-mini
A fast version of gpt-4.1 — a universal "workhorse." Can write texts, answer questions, give advice, but without deep analytics.
Recommendations: A great choice for small companies that need a reliable AI without frills.
Examples:
Customer support.
Product and service descriptions.
Maintaining a knowledge base.
Processing requests and messages.
gpt-4.1-nano
Responds briefly and directly. Does not perform complex reasoning, but is inexpensive and works quickly.
Examples:
Chatbot for quick answers.
Auto-notifications and short instructions.
Technical answers without creativity.
Recommendations: For internal automation, help systems, FAQ sections.
gpt-4.5-preview
Test version between gpt-4 and gpt-5. Analytically powerful but unstable and expensive. Used when you need to test the capabilities of new architectures.
Examples:
Studying AI behavior.
Testing complex reasoning.
Creating unconventional prototypes.
Recommendations: Not for production AI bots.
gpt-03
A simplified model without emotions but very stable. Ideal for simple texts and standard responses.
Examples:
Simple tech support.
Creating short instructions.
Answers to template questions.
Recommendations: For minimal AI tasks where stability matters more than intelligence.
gpt-03-deep-research
Specialized for analyzing large texts and finding patterns. Performs comparisons, draws conclusions, summaries and analyses.
Examples:
Analysis of customer reviews.
Competitor comparisons.
Searching for semantic patterns in data.
Creating reports.
Recommendations: For analytical AI employees, marketers and researchers.
gpt-04-mini
A reliable, fast and economical model. Writes texts well, but does not reason deeply.
Examples:
Generation of short descriptions.
Assistant for routine tasks (emails, notifications).
Simple chatbots.
Recommendations: Suitable for starting a project or tests.
gpt-04-mini-deep-research
Able to analyze texts, make generalizations and draw conclusions.
Examples:
Preparing reports from reviews.
Analysis of correspondence.
Summarizing data from CRM.
gpt-03-pro
An improved version of gpt-3 with better memory and stability.
Examples:
Call-center bot conducting long conversations (voice usage is not available in Selarti).
AI interlocutor for training.
Automatic recruiter.
gpt-01 / gpt-01-pro
Used only for demonstrations or compatibility tests. Not suitable for production AI employees.
gpt-03-mini
A fast and budget version for simple tasks.
Examples:
Feedback forms.
Chatbot with canned responses.
Short template responses to users.
gpt-4o
Understands not only text but also images. Can describe, analyze and compare visual information.
Examples:
Analysis of product photos or documents (image processing is not supported in Selarti).
Assistant checking design or mockups.
AI assistant for visual content.
Recommendations: Ideal for companies working with graphics, products, documents.
gpt-4o-mini
A fast and lightweight multimodal model.
Examples:
Assistant for visual content for marketing (image processing is not supported in Selarti).
Automatic image checking (image processing is not supported in Selarti).
Recognition of screenshots, receipts, forms (image processing is not supported in Selarti).
gpt-4-turbo
An optimized version of gpt-4 — combines intelligence, speed and affordability. Suitable for almost any type of AI employee.
Examples:
Request manager.
Assistant in CRM.
Content bot that trains and informs customers.
Virtual consultant in a messenger.
Recommendations: If you are unsure which model to choose — start with gpt-4-turbo.
gpt-4-turbo-preview
The same turbo architecture but with new capabilities (improved context, speech stylization, memory). Sometimes it can be unstable but it delivers the newest features earlier than others.
Examples:
Testing new AI employees.
Prototypes where flexible style and natural speech are important.
Our experience creating a bot for technical support on the o3-mini and gpt-4o models
For several months now we have been creating a bot for our onlinePBX project. This bot will answer customers' simple questions and escalate to staff if the question is complex. By the way, we named it Ilya; since it is a technical support employee, it should have a name.
In the process of creating the bot we used two models — o3-mini and gpt-4o. Below we share our observations.
Working with documentation:
o3-mini refers to documentation even if instructed not to. It usually does this in a citation format that displays incorrectly. Sometimes it replaces quotation marks with emojis.
o3-mini searches for mentions of the topic across all files and does this more thoroughly than gpt-4o.
gpt-4o also refers to documentation; the prohibition does not always work.
gpt-4o mentions uploaded files if they contain no information, for example it may say: "There is no such information in the uploaded files."
Formatting the knowledge base in both cases requires a good structure — it is important to highlight items and subitems with headings so that models can save time and resources by "reading" only what relates to the client's specific question.
Model thinking:
If there is no clear answer to a customer's question in the documentation, gpt-4o may give a very vague answer or say that such information does not exist. In the same situation o3 will analyze the information and invent an answer. Sometimes it will be correct, and other times completely made up.
o3-mini has a larger context window, so it will process more information than gpt-4o.
gpt-4o provides an answer quickly, typically within 10 seconds.
o3-mini responds longer, depending on the thinking parameter set — about 15 seconds at minimum, 20–30 seconds at medium, and about a minute at high level.
Transferring the question to an operator:
Both o3-mini and gpt-4o require clear instructions for handing the dialogue over to an operator, but for o3-mini this must be described in much more detail because the model will assume it can solve the issue itself and will invent answers that do not match reality.
Unlike o3-mini, gpt-4o can hand the dialogue to an operator if it lacks information to answer. o3-mini does not understand the concept of lack of information and continues to fabricate answers.
Text formatting:
gpt-4o uses Markdown formatting, which includes bold, italics, and link formatting as hyperlinks rather than raw URLs for better readability. If the bot will be used through a helpdesk, all markup should be disabled, otherwise text emphasis and links will display incorrectly.
o3-mini produces text in a simple structure, can split it into items, but will send links as raw URLs.
Other features:
When composing a prompt (instruction) gpt-4o easily works by roles and plays a character, can use more "friendly" formulations and convincingly pretend to be a support staff member.
o3-mini does poorly with roleplay; if asked to be more emotional and friendly it is more likely to use expressive punctuation, for example adding more exclamation marks. o3-mini is more like a dry reference manual than an empathetic employee.
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