# Which OpenAI api is most similar to the one on the browser for free users?

**URL:** <https://community.openai.com/t/which-openai-api-is-most-similar-to-the-one-on-the-browser-for-free-users/1373316>\
**Category:** Community\
**Tags:** api, education\
**Created:** [February 4, 2026, 10:46am UTC](https://community.openai.com/t/which-openai-api-is-most-similar-to-the-one-on-the-browser-for-free-users/1373316 "2026-02-04T10:46:17Z")\
**Posts on this page:** 5\
**Page:** 1

<div class="post-metadata">

**Author:** ![Diego\_E](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/diego_e/32/513773_2.png) [@Diego\_E](https://community.openai.com/u/Diego_E)\
**Post date:** [February 4, 2026, 10:46am UTC](https://community.openai.com/t/which-openai-api-is-most-similar-to-the-one-on-the-browser-for-free-users/1373316/1 "2026-02-04T10:46:17Z")

</div>

Doing research how well LLM’s find sources. I want to compare gemini, grok and openai but can not find the info.

---

<div class="post-metadata">

**Author:** ![glenn.haugen](https://avatars.discourse-cdn.com/v4/letter/g/8dc957/32.png) [@glenn.haugen](https://community.openai.com/u/glenn.haugen)\
**Post date:** [February 4, 2026, 2:21pm UTC](https://community.openai.com/t/which-openai-api-is-most-similar-to-the-one-on-the-browser-for-free-users/1373316/2 "2026-02-04T14:21:22Z")

</div>

I think even free users get the **gpt-5.2-chat-latest** model, at least for a certain number of requests, after which they may switch to a “mini” model, but I’m not sure about the latter.

---

<div class="post-metadata">

**Author:** ![Diego\_E](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/diego_e/32/513773_2.png) [@Diego\_E](https://community.openai.com/u/Diego_E)\
**Post date:** [February 4, 2026, 2:52pm UTC](https://community.openai.com/t/which-openai-api-is-most-similar-to-the-one-on-the-browser-for-free-users/1373316/3 "2026-02-04T14:52:49Z")

</div>

You’re right. Gemini and Grok also give limited access to their latest models.  
Do you think testing both the “mini” and the “latest” models would give insight into the free user experience?  
These are my choices at the moment.

 ![image](https://us1.discourse-cdn.com/openai1/original/4X/1/a/a/1aa72bd25b997243d6edb8510f73adcf88be5a2d.png)

---

<div class="post-metadata">

**Author:** ![\_j](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/_j/32/766292_2.png) [@\_j](https://community.openai.com/u/_j)\
**Post date:** [February 4, 2026, 3:38pm UTC](https://community.openai.com/t/which-openai-api-is-most-similar-to-the-one-on-the-browser-for-free-users/1373316/4 "2026-02-04T15:38:01Z")

</div>

With ChatGPT, OpenAI runs a bunch of their own internal tools, and has a completely different set of their own features within ChatGPT. You cannot place real system messages on the API now either with GPT-5.2, or true top-level tools, a reservation OpenAI has kept for themselves, along with their own internal prompts run on API that are neither ChatGPT nor what you want.

Therefore, the goal to research “how well they find sources” cannot be met, as you are asking about a developed product, while on the API you develop your own AI products. You aren’t going to get these results, and cannot even simulate the message sequence even if no tools are called by AI and no internet results are injected.

 ![image](https://us1.discourse-cdn.com/openai1/original/4X/6/8/a/68a196766d40b9099af52559adaca73749ba432a.jpeg)

Plus, then you have the unknown service level of “free”, where OpenAI has the ability to deliver whatever free is worthy of, given the current dynamic compute utilization by payers.

The closest would be to use the gpt-5.2-chat-latest model, which has no reasoning controls but is quite minimal reasoning, thinking about policy and refusing. Then place the same message sequence of “You are ChatGPT…” with the behavior tuneup language you can extract from ChatGPT after you have escalated your “user” privilege with prompting.

Better is `gpt-5-chat-latest` which actually acts like a non-reasoning model, but is not what is delivered today.

* * *

Simulate this context bloat?

> # Catalog of Available Tools
> 
> This document catalogs all tools available in this environment, organized by **channel** , **tool recipient** , and **functional category**. It is intended as a comprehensive reference, not a usage guide.
> 
> * * *
> 
> ## 1. Core Conversation Channels
> 
> ### analysis
> 
> **Purpose:** Internal reasoning, planning, and tool orchestration. Not visible to the user.
> 
> - Decides when and how to call tools
> - Performs private computation, validation, and planning
> 
> ### final
> 
> **Purpose:** User-facing response channel.
> 
> - Contains the final answer, explanations, or guidance
> - No hidden reasoning or tool calls
> 
> ### commentary
> 
> **Purpose:** User-visible tool execution and UI-side effects.
> 
> - Canvas creation and updates
> - User-visible Python execution
> - Automations, widgets, image generation
> 
> * * *
> 
> ## 2. Tool Catalog by Category
> 
> * * *
> 
> ## A. External Information Retrieval
> 
> ### web.run
> 
> **Channel:** analysis  
> **Category:** External info retrieval  
> **Description:**
> 
> - Performs live web search and page retrieval
> - Required for time-sensitive, factual, or verifiable information
> - Supports search queries and page opening
> 
> * * *
> 
> ## B. User-Connected / Uploaded Data Access
> 
> ### file\_search.msearch
> 
> **Channel:** analysis  
> **Category:** User data connection  
> **Description:**
> 
> - Searches user-uploaded files and connected internal sources
> - Supports multiple semantic queries
> - Can be restricted by source and file type
> 
> ### file\_search.mclick
> 
> **Channel:** analysis  
> **Category:** User data connection  
> **Description:**
> 
> - Opens and expands specific search results or documents
> - Used after msearch to inspect content in detail
> 
> * * *
> 
> ## C. Coding, Computation, and Execution
> 
> ### python.exec
> 
> **Channel:** analysis  
> **Category:** Coding / computation (private)  
> **Description:**
> 
> - Executes Python code for internal reasoning
> - No user-visible output
> - Internet access disabled
> 
> ### python\_user\_visible.exec
> 
> **Channel:** commentary  
> **Category:** Coding / computation (user-visible)  
> **Description:**
> 
> - Executes Python code with visible output
> - Can generate tables, plots, and downloadable files
> - Used for data artifacts and demonstrations
> 
> ### container.exec
> 
> **Channel:** commentary  
> **Category:** Coding / container  
> **Description:**
> 
> - Executes shell commands inside a container
> - Supports interactive sessions
> 
> ### container.feed\_chars
> 
> **Channel:** commentary  
> **Category:** Coding / container  
> **Description:**
> 
> - Sends input to an interactive container session
> 
> ### container.open\_image
> 
> **Channel:** commentary  
> **Category:** Coding / container  
> **Description:**
> 
> - Displays an image file from the container filesystem
> 
> ### container.download
> 
> **Channel:** commentary  
> **Category:** Coding / container  
> **Description:**
> 
> - Downloads external files into the container filesystem
> 
> * * *
> 
> ## D. Canvas / Document Management
> 
> ### canmore.create\_textdoc
> 
> **Channel:** commentary  
> **Category:** Document & canvas management  
> **Description:**
> 
> - Creates a new canvas document
> - Used for long-form writing, plans, or code files
> 
> ### canmore.update\_textdoc
> 
> **Channel:** commentary  
> **Category:** Document & canvas management  
> **Description:**
> 
> - Applies regex-based updates to an existing canvas document
> 
> ### canmore.comment\_textdoc
> 
> **Channel:** commentary  
> **Category:** Document & canvas feedback  
> **Description:**
> 
> - Adds inline comments and suggestions to a canvas document
> 
> * * *
> 
> ## E. UI Widgets and Utilities
> 
> ### genui.search
> 
> **Channel:** analysis  
> **Category:** UI utilities  
> **Description:**
> 
> - Discovers available interactive widgets (weather, currency, time, etc.)
> 
> ### genui.run
> 
> **Channel:** commentary  
> **Category:** UI utilities  
> **Description:**
> 
> - Renders a selected widget for the user
> 
> * * *
> 
> ## F. Image Generation
> 
> ### image\_gen.text2im
> 
> **Channel:** commentary  
> **Category:** Media generation  
> **Description:**
> 
> - Generates images from text prompts
> - Also used for image editing and style transfer
> - Produces no textual response
> 
> * * *
> 
> ## G. Automations and Scheduling
> 
> ### automations.create
> 
> **Channel:** commentary  
> **Category:** Task automation  
> **Description:**
> 
> - Creates reminders, recurring tasks, or conditional checks
> 
> ### automations.update
> 
> **Channel:** commentary  
> **Category:** Task automation  
> **Description:**
> 
> - Modifies or enables/disables an existing automation
> 
> ### automations.list
> 
> **Channel:** commentary  
> **Category:** Task automation  
> **Description:**
> 
> - Lists all active automations
> 
> * * *
> 
> ## H. Memory, Context, and Personalization
> 
> ### personal\_context.search
> 
> **Channel:** analysis  
> **Category:** Memory / context  
> **Description:**
> 
> - Retrieves stored personal context for the user
> - Used when prior interactions matter
> 
> ### bio.update
> 
> **Channel:** commentary  
> **Category:** Memory  
> **Description:**
> 
> - Writes persistent user memory (if enabled)
> 
> * * *
> 
> ## I. User Settings
> 
> ### user\_settings.get\_user\_settings
> 
> **Channel:** commentary  
> **Category:** Preferences & personalization  
> **Description:**
> 
> - Retrieves current UI and personality settings
> 
> ### user\_settings.set\_setting
> 
> **Channel:** commentary  
> **Category:** Preferences & personalization  
> **Description:**
> 
> - Updates appearance, accent color, or personality
> 
> * * *
> 
> ## J. API Tool Discovery
> 
> ### api\_tool.list\_resources
> 
> **Channel:** commentary  
> **Category:** Tool discovery  
> **Description:**
> 
> - Lists available API-like resources and tools
> 
> ### api\_tool.call\_tool
> 
> **Channel:** commentary  
> **Category:** Tool invocation  
> **Description:**
> 
> - Invokes a discovered API tool or executable resource
> 
> * * *
> 
> ## K. System / Guardian Constraints
> 
> ### Safety & Policy Layer (implicit)
> 
> **Channel:** Internal  
> **Category:** Guardian / safety  
> **Description:**
> 
> - Enforces safety, policy, and capability constraints
> - Not directly callable
> 
> * * *
> 
> ## 3. Summary
> 
> This catalog enumerates all available tools by channel, recipient, and functional category, covering:
> 
> - External and internal information retrieval
> - User data access
> - Code execution and containers
> - Canvas-based document workflows
> - UI widgets and media generation
> - Automations and scheduling
> - Memory, context, and personalization
> - Tool discovery and invocation
> 
> It is designed as a stable reference for understanding the full operational surface of this environment.

---

<div class="post-metadata">

**Author:** ![Diego\_E](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/diego_e/32/513773_2.png) [@Diego\_E](https://community.openai.com/u/Diego_E)\
**Post date:** [February 4, 2026, 6:03pm UTC](https://community.openai.com/t/which-openai-api-is-most-similar-to-the-one-on-the-browser-for-free-users/1373316/5 "2026-02-04T18:03:11Z")

</div>

Thanks, Jay, for your reply. You raised an important disclaimer that I need to mention in my research. I am doing an internship at a company that wants to improve its AI readiness, so this clarification is very helpful. I will try using gpt-5-chat-latest as an approximation and if i don’t get results then i will have to pivot. Its week 1 of the internship luckily.