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Top ChatGPT Alternatives and How to Choose the Right One

Top ChatGPT Alternatives and How to Choose the Right One
Hostman Team
Technical writer
Infrastructure

OpenAI’s developments are undoubtedly among the best in the generative neural network market. This applies not only to ChatGPT, which generates text, but also to DALL-E, which generates images, and Sora, which generates video.

However, there are many other equally effective ChatGPT alternatives, including free ones. This article focuses on them.

How to Choose a ChatGPT Alternative

It is worth highlighting several general parameters that allow you to clearly see the differences between existing large language model (LLM) platforms:

  • In-depth reasoning: Support for a "Reasoning" or "Deep Thinking" feature, which improves answer accuracy.
  • Interactive interaction: Support for a "Canvas" mode that makes working with content more interactive.
  • Image analysis: Ability to analyze image files.
  • Video analysis: Ability to analyze video files or links.
  • Audio analysis: Ability to analyze audio files with speech or music.
  • Document analysis: Ability to analyze documents in various formats, such as PDF or DOCX.
  • Image generation: Ability to generate images, either using an internal or external model.
  • Video generation: Ability to generate video, usually requiring a separate model.
  • Audio generation: Ability to generate audio, in the form of speech or music.

For example, for ChatGPT, depending on the subscription plan, these parameters look as follows:

Feature

Free Plan

Paid Plans

In-depth reasoning

Yes

Yes

Interactive interaction

Yes

Yes

Image analysis

Yes

Yes

Video analysis

No

No

Audio analysis

No

No

Document analysis

Yes

Yes

Image generation

Yes

Yes

Video generation

No

Yes

Audio generation

Yes

Yes

Thus, any ChatGPT alternative can be evaluated through the lens of these parameters.

1. Gemini

Gemini is a neural network created by Google in 2023.

  • Platform: Gemini
  • Models: Gemini Flash, Imagen, Veo
  • Release: March 21, 2023
  • Developer: Google DeepMind
  • Country: USA

Capabilities

The Gemini Flash language model is integrated with two other Google models: Imagen for image generation and Veo for video generation. This allows users to create images and videos directly within the Gemini chat; the results appear in the dialog window, similar to text.

Additionally, Gemini is tightly connected with Google’s ecosystem, including browser and mobile applications like Gmail, Google Docs, Google Lens, and more.

The experimental Canvas feature enables more interactive model interaction: editing responses, changing tone and length, refining details, and executing code.

Feature

Free Plan

Paid Plans

In-depth reasoning

Yes

Yes

Interactive interaction

Yes

Yes

Image analysis

Yes

Yes

Video analysis

Yes

Yes

Audio analysis

Yes

Yes

Document analysis

Yes

Yes

Image generation

Yes

Yes

Video generation

No

Yes

Audio generation

No

No

Pricing

  • Gemini Basic: Free. Provides access to basic Gemini models without deep Google ecosystem integration. Sufficient for most standard tasks. A decent free alternative to ChatGPT.

  • Gemini Advanced: From $20/month. Provides access to the most powerful Gemini models (including experimental ones) with an extended context window for processing large volumes of information—up to 1 million tokens.

2. Claude

Claude is a neural network created by Anthropic in 2023.

  • Platform: Claude
  • Models: Claude
  • Release: March 14, 2023
  • Developer: Anthropic
  • Country: USA

Capabilities

Claude’s abilities are standard for most platforms using large generative models and it can be considered as one of the best ChatGPT alternatives.

However, all of Claude’s functionality is only available via a paid subscription. Unlike other platforms, it is nearly impossible to use Claude effectively for free due to numerous limitations.

Feature

Free Plan

Paid Plans

In-depth reasoning

No

Yes

Interactive interaction

No

Yes

Image analysis

Yes

Yes

Video analysis

No

No

Audio analysis

No

No

Document analysis

Yes

Yes

Image generation

No

No

Video generation

No

No

Audio generation

No

No

Pricing

  • Free: Limited token count, enough for 5–10 queries per day. Reduced limits, no external search, no reasoning mode, no integration with external tools.

  • Pro: From $15/month. Increased limits, unlimited projects, external search, advanced reasoning, Google Workspace integration, and access to more Claude models.

  • Max: From $90/month. Increased limits (up to 20x Pro), enhanced external search, access to the Claude Code agent tool, reasoning mode, early access to new features, priority request processing, and external tool integration.

3. Grok

Grok is a neural network created by xAI in 2023.

  • Platform: Grok
  • Models: Grok, Aurora
  • Release: November 3, 2023
  • Developer: xAI
  • Country: USA

Capabilities 

In addition to the standard query mode, Grok offers specialized modes for specific tasks:

  • Think: Grok spends a few seconds to minutes analyzing a query and provides a precise answer. Ideal for math, philosophy, strategy, coding, and architecture tasks. Relies solely on internal model knowledge.

  • DeepSearch: Uses intelligent agents to search external sources for current information. Suitable for fast-changing topics like news, trends, publications, and events.

  • DeeperSearch: An advanced version of DeepSearch, spending more time analyzing fewer sources but collecting information more thoroughly. Ideal for very narrow queries but may miss key details or focus on irrelevant sources.

Grok is deeply integrated with the X platform (formerly Twitter), acting as an AI assistant and enhancing platform functionality:

  • Grok is embedded in X’s interface: users can ask questions, analyze posts, and generate content.
  • Grok analyzes public posts in real-time to provide up-to-date information on news, trends, and public opinion.
  • Grok is trained on X data using xAI’s Colossus supercomputer.

The Aurora model integrated into Grok allows generating photorealistic images directly within the chat. Grok also works without authorization, though dialogues are not saved in history in that mode.

Feature

Free Plan

Paid Plans

In-depth reasoning

Yes

Yes

Interactive interaction

Yes

Yes

Image analysis

Yes

Yes

Video analysis

No

No

Audio analysis

No

No

Document analysis

Yes

Yes

Image generation

Yes

Yes

Video generation

No

No

Audio generation

No

No

Pricing

  • Grok Basic: Free. Limited queries and images every 2 hours (exact numbers not disclosed), limited access to Thinking, DeepSearch, and DeeperSearch modes, and a limited context window.

  • SuperGrok: From $30/month. 100 queries and images every 2 hours, 30 queries for Thinking, DeepSearch, and DeeperSearch each every 2 hours, extended context window.

4. Qwen

Qwen is a neural network created by Alibaba in 2023.

  • Platform: Qwen
  • Models: Qwen
  • Release: August 25, 2023
  • Developer: Alibaba
  • Country: China

Capabilities

The Qwen‑Turbo model available on paid plans features a record-long context—up to 1,000,000 tokens. All Qwen models are multimodal, capable of processing text, images, video, and audio as input and output. Qwen’s main strength is its ability to work with a wide variety of multimedia content.

Feature

Free Plan

Paid Plans

In-depth reasoning

Yes

Yes

Interactive interaction

Yes

Yes

Image analysis

Yes

Yes

Video analysis

Yes

Yes

Audio analysis

Yes

Yes

Document analysis

Yes

Yes

Image generation

Yes

Yes

Video generation

Yes

Yes

Audio generation

Yes

Yes

Pricing

  • Qwen Basic: Free trial access, 1 million tokens per basic model for 180 days.

  • Qwen Max / Plus / Turbo: Pay-as-you-go via Alibaba Cloud Model Studio. Three models differ in maximum context, quality, and generation speed.

Model

Context

Quality

Speed

Input Cost

Output Cost

Qwen-Max

30,000 tokens

High

Slow

$1.6/million tokens

$6.4/million tokens

Qwen-Plus

130,000 tokens

Medium

Medium

$0.4/million tokens

$1.2/million tokens

Qwen-Turbo

1,000,000 tokens

Low

Fast

$0.05/million tokens

$0.2/million tokens

5. Mistral

Mistral is a neural network created by Mistral AI in 2023.

  • Platform: Le Chat
  • Models: Mistral, Flux
  • Release: September 27, 2023
  • Developer: Mistral AI
  • Country: France

Capabilities

The first thing that stands out is how fast Mistral generates responses. No other model matches this speed. In this aspect, you could say that Mistral is better than ChatGPT. Additionally, the smooth animation of messages appearing in the chat window provides a genuinely pleasant user experience.

Despite the high speed, Mistral’s responses are accurate and relevant, containing only key information without unnecessary filler.

Mistral does not allow manually enabling a deep reasoning mode with access to external sources. Instead, the neural network automatically gathers information from the Internet when it deems necessary.

In this sense, Mistral works “out of the box”—no additional settings are required. The user writes a query and receives a response almost instantly.

For image generation, Mistral uses the Flux model from a third-party developer, Black Forest Labs.

Feature

Free Plan

Paid Plans

In-depth reasoning

No

No

Interactive interaction

Yes

Yes

Image analysis

Yes

Yes

Video analysis

No

No

Audio analysis

No

No

Document analysis

Yes

Yes

Image generation

Yes

Yes

Video generation

No

No

Audio generation

No

No

Pricing

  • Free: Access to the latest advanced Mistral models, data collection from external sources, file upload, advanced data analysis, image generation, and fast responses.

  • Pro: From $14/month. Unlimited high-performance Mistral model, unlimited daily messages, advanced external data collection, advanced image generation, and extended fast response limits.

  • Team: From $24/month. Advanced generation and data collection capabilities, centralized management and administration, and a dedicated support channel from Mistral AI.

6. DeepSeek

DeepSeek is a neural network created by High-Flyer in 2023.

  • Platform: DeepSeek
  • Models: DeepSeek
  • Release: November 2, 2023
  • Developer: High-Flyer
  • Country: China

Capabilities

DeepSeek provides unlimited functionality completely free of charge, reserving the right to charge only for API usage.

However, DeepSeek lacks extensive multimodal capabilities: it does not generate images, video, or audio, though it can analyze images and documents.

It also does not have a Canvas-like tool for interactive work with responses (and code), common in many LLM platforms.

Nevertheless, DeepSeek has standard reasoning (DeepThink) and search (Search) functions.

Feature

Free Plan

Paid Plans

In-depth reasoning

Yes

Yes

Interactive interaction

No

No

Image analysis

Yes

Yes

Video analysis

No

No

Audio analysis

No

No

Document analysis

Yes

Yes

Image generation

No

No

Video generation

No

No

Audio generation

No

No

Pricing

  • Browser Access: Free. Normal mode (deepseek-chat) has no limits; DeepThink mode (deepseek-reasoner) allows up to 50 messages per session.

  • API Access: Pay-per-token for input and output; necessary only for API usage. Pricing varies by mode.

Mode

1M Tokens Input

1M Tokens Output

deepseek-chat

$0.27

$1.10

deepseek-reasoner

$0.55

$2.19

7. Reka

Reka is a neural network created by Reka AI in 2024.

  • Platform: Reka
  • Models: Reka
  • Release: April 18, 2024
  • Developer: Reka AI
  • Country: USA

Capabilities

Reka can feel somewhat rough: it occasionally misinterprets context and incorrectly analyzes provided documents and media files.

However, for text generation or open-source information retrieval, the model performs reasonably well. Reka’s chat includes integrated agents:

  • Reka Vision Agent: Analyzes images.
  • Reka Research Agent: Searches for information in open sources.
  • Reka Speech Agent: Translates and transcribes audio in real time; a demo version is available.

Reka’s main feature is the interactive Space, where texts and images can be placed. While most people interact with LLMs through standard chat, the interactive space adds visual clarity during text generation.

Feature

Free Plan

Paid Plans

In-depth reasoning

Yes

Yes

Interactive interaction

Yes

Yes

Image analysis

Yes

Yes

Video analysis

Yes

Yes

Audio analysis

Yes

Yes

Document analysis

No

No

Image generation

No

No

Video generation

No

No

Audio generation

No

No

Pricing

  • Browser Access: Free. Standard capabilities with no restrictions.

  • API Access: Pay-per-token. Three model versions available in ascending power: Spark, Flash, and Core.

Version

Cost per 1M Input Tokens

Cost per 1M Output Tokens

Reka Spark

$0.05

$0.05

Reka Flash

$0.8

$2

Reka Core

$2

$6

8. ChatGLM

ChatGLM is a neural network created by Zhipu AI in 2023.

  • Platform: ChatGLM
  • Models: ChatGLM, CogView, Ying
  • Release: March 13, 2023
  • Developer: Zhipu AI
  • Country: China

Capabilities

In addition to image and document analysis, ChatGLM can generate images with CogView and videos with Ying. Audio transcription and analysis is handled by ChatGLM Voice.

Special functions for media work are provided in dedicated chats. Otherwise, ChatGLM functions similarly to other neural networks.

Feature

Free Plan

Paid Plans

In-depth reasoning

Yes

Yes

Interactive interaction

No

No

Image analysis

Yes

Yes

Video analysis

No

Yes

Audio analysis

No

Yes

Document analysis

Yes

Yes

Image generation

No

Yes

Video generation

No

Yes

Audio generation

No

Yes

Pricing

  • Trial: Free. Upon initial registration, 1,000,000 tokens for 30 days; after identity verification, an additional 4,000,000 tokens for 30 days. Uses the lightweight ChatGLM Flash model.

  • Paid: Pay-as-you-go. Full multimodal and generative capabilities, with four model versions in ascending power: Lite, Turbo, Std, and Pro.

Version

Cost per 1M Tokens

ChatGLM Lite

$0.28

ChatGLM Turbo

$0.69

ChatGLM Std

$0.69

ChatGLM Pro

$1.39

Aggregator Platforms / Intermediaries

There is a separate category of content generation platforms, acting as intermediaries or aggregators. Essentially, they are standard chatbots but rely on third-party models mentioned above.

Platform

Models

Release

Developer

Country

Microsoft Copilot

GPT

Feb 7, 2023

Microsoft

USA

You.com

GPT

Nov 9, 2021

YouChat

USA

Poe

GPT, o, Claude, Llama, Gemini, Mistral, Qwen, DeepSeek

Dec 21, 2022

Poe

USA

HuggingChat

Llama, DeepSeek, Mistral, Qwen, C4AI

Apr 25, 2023

Hugging Face

USA

Nova

GPT, Gemini, Claude, DeepSeek

Dec 3, 2024

HUBX

USA

Duck.ai

GPT, o, Llama, Claude, Mistral

Mar 10, 2025

DuckDuckGO

USA

This category also includes specialized external search services using intelligent agents to collect information. They also use third-party generative models, most often OpenAI GPT.

Platform

Models

Release

Developer

Country

Perplexity

GPT

Dec 7, 2022

Perplexity AI

USA

Andi

GPT

Jan 26, 2023

Andi

USA

Phind

Llama

Feb 23, 2023

Phind

USA

How to Choose a Platform

AI benchmarks show significant differences in task performance for each model, but these reflect controlled “lab” conditions. In typical tasks, the differences are less noticeable, though they exist.

Pricing structures are similar: basic functionality is free, enhanced features require payment, often on a pay-per-token basis.

Some platforms are multimodal: they can generate text, images, video, and audio. Others can analyze multimedia data, but only generate text.

When looking for an AI tool like ChatGPT, it makes sense to test several platforms for a given task and then select one or two.

Suggested approach:

  1. Define requirements clearly. Identify key requirements based on the project and its tasks.
  2. Evaluate core platform parameters. Compare the requirements against the platform’s capabilities, especially generative features and ecosystem integration.
  3. Compare platforms. Select the most suitable platforms based on how well their characteristics align with project needs.
  4. Test selected platforms. Evaluate performance in real tasks to determine the best fit.
  5. Choose the most suitable platform. You don’t have to pick only one. Keep a couple of backups for tasks where they might outperform the main platform.
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It supports different index types, allowing work with multiple data types. This database also supports regular expressions in queries. However, new fields in PostgreSQL can only be added at the end of a table. Parallel data processing is better organized in PostgreSQL because the platform has a built-in implementation of MVCC (multiversion concurrency control). MVCC can also be supported in MySQL, but only if InnoDB is used. Concerning replication, PostgreSQL supports logical, streaming, and bidirectional replication, while MySQL supports circular replication as well as master-master and master-standby. Replication refers to copying data between databases located on different servers. PostgreSQL and MySQL: Performance Comparison Testing is fair only when comparing two clean, “out-of-the-box” systems. Indexed testing provides the following results: Insertion: PostgreSQL is more than 2.7× faster, processing a 400,000-record database in 5.5 seconds versus 15 seconds for MySQL. Inner join: PostgreSQL processes 400,000 records in 1.1 seconds, MySQL in 2.8 seconds: a gain of more than 2.5×. Indexed sorting: PostgreSQL processes the same number of records in 0.9 seconds, MySQL in 1.5 seconds. Grouping: For the same 400,000-record database, PostgreSQL achieves 0.35 seconds, MySQL 0.52 seconds. Indexed selection: PostgreSQL is 2× faster: 0.6 seconds vs. 1.2 seconds. When it comes to updating data, PostgreSQL’s update time increases gradually as the number of records grows, while MySQL processes them in roughly the same time, starting from 100,000 records. This is due to different data-storage implementations. Nevertheless, PostgreSQL holds a significant advantage over MySQL even with large data volumes: 3.5 seconds versus 9.5 seconds for 400,000 records—more than 2.7× faster. Without indexes, PostgreSQL also shows surprisingly high performance, processing a 400,000-record database in 1.3, 0.7, and 2.2 seconds for inner join, selection, and update operations, respectively. Thus, PostgreSQL delivers an average performance advantage of about 2× (2.06). Although MySQL was originally positioned as a high-performance platform, constant optimization by the PostgreSQL development team has resulted in greater efficiency. Advantages for Developers Here we consider only the unique features characteristic of each platform. Therefore, we will not discuss support for MVCC or ACID, as these features are present in both systems. From a developer’s perspective, MySQL is advantageous because it: Provides increased flexibility and is easily scalable, with more than ten storage engines based on different data-storage algorithms. Handles small read-oriented databases more efficiently (i.e., without frequent writes). Is easier to manage and maintain, because it requires less configuration and fewer preparatory steps before starting work. From a developer’s perspective, PostgreSQL is advantageous because it: Offers an object-oriented approach to data, enabling inheritance and allowing the creation of more complex table structures that do not fit the traditional relational model. Handles write-oriented databases better, including validation of written data. Supports object-oriented programming features, enabling work with NoSQL-style data, including XML and JSON formats. Can support databases without limitations on data volume. Some companies use PostgreSQL to run databases as large as several petabytes. PostgreSQL and MySQL Comparison For clarity, the main features of both systems can be presented in a table:   PostgreSQL MySQL Supported OS Solaris, Windows, Linux, OS X, Unix, HP-UX Solaris, Windows, Linux, OS X, FreeBSD Use cases Large databases with complex queries (e.g., Big Data) Lighter databases (e.g., websites and applications) Data types Supports advanced data types, including arrays and hstore Supports standard SQL data types Table inheritance Yes No Triggers Supports triggers for a wide range of commands Limited trigger support Storage engines Single (Storage Engine) Multiple As we can see, several features are implemented only in PostgreSQL. Both systems support ODBC, JDBC, CTE (common table expressions), declarative partitioning, GIS, SRS, window functions, and many other features. Conclusion Each system has its strengths. MySQL handles horizontal scaling well and is easier to configure and manage. However, if you expect database expansion or plan to work with different data types, it is better to consider implementing PostgreSQL in advance. Moreover, PostgreSQL is a fully free solution, so companies with limited budgets can use it without fear of unnecessary costs.
24 November 2025 · 6 min to read

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