Find the Best OpenAI Models on Lorka

Want to make sure you get the most out of GPT for your work, projects or studying? Explore all the major ChatGPT AI models on Lorka and find out which model works best for you, whether you're just starting with AI or if you're used to building workflows.

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Why Are There So Many OpenAI Models?

OpenAI releases multiple models because no single system is the best fit for every study task or type of job. Some OpenAI models are optimized for raw capability, while others are optimized for speed or multimodal inputs such as images or audio.

The flagship ChatGPT models handle complex reasoning and high-stakes tasks, while lightweight GPT models are better for fast, repetitive work at scale.

Legacy models, which are earlier versions of OpenAI's language models that have since been replaced by newer releases, are still useful when you need simpler responses or to support older workflows that were built around a specific version.

OpenAI Models at a Glance

Check out our list of all the major ChatGPT AI models found on Lorka to understand what each model does best. Also see what inputs and outputs they support, their context window, and key strengths to help you improve your work process or research.

ChatGPT 5 Family

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GPT-5.2

Best for long-context reasoning and high-accuracy work

GPT-5.2 is the latest flagship model in the GPT-5 family, built for complex reasoning and producing reliable outputs across analysis, coding, and work that involves creating documents, spreadsheets, presentations, and more.

Inputs: Text, Images, Audio
Outputs: Text, Images, Audio
Context: Up to 400K tokens
Learn more about GPT-5.2
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GPT-5.1

Best for next-generation reasoning and deep logic

GPT-5.1 is the flagship GPT-5 model, built for advanced reasoning, multistep planning, and deep logic. It is recommended for critical analysis and tasks where accuracy is important to break down market data for strategic plans, or to design and simulate research.

Inputs: Text, Images, Audio
Outputs: Text, Images, Audio
Context: Up to 400K tokens
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GPT-5

Best for high-volume workflow automation

GPT-5 gives you sharper insights as it handles advanced chatbots and content along with analytical tasks with consistency. Choose it when you need strong capability across many workloads.

Inputs: Text, Images
Outputs: Text, Images
Context: Up to 400K tokens
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GPT-5 mini

Best for real-time embedded applications

If you need solid reasoning to guide your operations, GPT-5 mini could be the model for you. It's great for automated tasks like customer support and bulk content generation. You can use it to automatically summarize hundreds of daily customer tickets or to quickly draft the first version of content across your product pages.

Inputs: Text
Outputs: Text
Context: Up to 400K tokens

GPT-5 nano

Best for real-time embedded applications

When you need GPT everywhere, GPT-5 nano can be great for your productivity. It's optimized for high-speed performance while maintaining capable reasoning. This makes it an ideal fit for high-volume automations, which can be used to power instant search features or to evaluate a massive influx of incoming user data in real-time.

Inputs: Text, Images
Outputs: Text
Context: Up to 400K tokens
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GPT-5 Chat

Best OpenAI chat model for natural dialogue

GPT-5 Chat specializes in natural dialogue and smooth multi-turn interaction. It's excellent for both beginners exploring AI and advanced users building agents. Use it to power highly responsive customer service bots or create engaging, personalized tutoring experiences.

Inputs: Text, Images
Outputs: Text
Context: Up to 128K tokens

GPT-4.1 Family

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GPT-4.1

Best for complex tasks without advanced reasoning

GPT-4.1 is a dependable general-purpose model that handles detailed writing, problem-solving, and structured tasks with solid accuracy. It's useful when you need strong performance but not the deeper reasoning capabilities of the GPT-5 family.

Inputs: Text, Images
Outputs: Text
Context: 1,047,576 tokens
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GPT-4.1 mini

Best for balance of power and speed

If you want excellent everyday performance with faster responses, GPT-4.1 mini delivers. It's well-suited for flexible tools and lightweight analysis without losing quality.

Inputs: Text, Images
Outputs: Text
Context: 1,047,576 tokens

GPT-4.1 nano

Best for speed and decision-making

Using GPT-4.1 nano gives you a GPT model optimized for very fast decision-making. It's ideal for high-volume automations, background tasks, or apps that need quick responses without heavy reasoning.

Inputs: Text, Images
Outputs: Text
Context: 1,047,576 tokens

GPT-4o Family

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GPT-4o

Best for multimodality across text, image, and audio

GPT-4o is OpenAI's flagship multimodal model, created to understand and generate text, images, and audio instantly. If you need to create interactive apps, creative workflows, and advanced AI experiences that use multiple input types, this is arguably the best OpenAI model for you.

Inputs: Text, Images, Audio
Outputs: Text, Audio
Context: Up to 128K tokens
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GPT-4o mini

Best for multimodality for everyday tasks

GPT-4o mini brings innovative multimodal abilities for you to handle everyday text, image, and audio requests while chatting efficiently, making it a great option for smaller apps and prototypes.

Inputs: Text, Images, Audio
Outputs: Text, Audio
Context: Up to 128K tokens

o-Series (Reasoning Models)

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o3

Best for stable performance (Surpassed by GPT-5)

If you're running older workflows built on early reasoning models, o3 delivers strong step-by-step logic. While it's been surpassed by GPT-5, it's still useful for compatibility and stable legacy performance.

Inputs: Text, Images
Outputs: Text
Context: Up to 200K tokens
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o3-pro

Best for advanced structured reasoning

Working on tasks that require precise logic, multistep proofs, or highly structured problem-solving? o3-pro is terrific at systematic reasoning and complex decision chains where execution is critical.

Inputs: Text, Images
Outputs: Text
Context: Up to 200K tokens
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o1

Best for early reasoning tasks (Surpassed by o3/GPT-5)

If you need compatibility with older systems or experiments, o1 still offers a capable early reasoning model. It's less advanced than o3 and GPT-5, but still handles structured thinking and stepwise logic smoothly.

Inputs: Text
Outputs: Text
Context: Up to 64K tokens

o1-mini

Best for lightweight reasoning

Need simple, fast reasoning for faster answers? o1-mini offers a smaller, efficient version of OpenAI's early reasoning approach, which can be used for high-volume or embedded logic tasks.

Inputs: Text
Outputs: Text
Context: Up to 32K tokens

Audio, Image & Video Models

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Whisper v3

Best for fast audio transcription

If you're converting calls, interviews, or voice notes to text, Whisper v3 gives you quick, accurate transcription across many languages. It's perfect for large batches and voice-enabled apps.

Inputs: Audio
Outputs: Text
Context: N/A
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GPT-Image-1

Best for image generation

Working on product visuals, concept art, or branded graphics? GPT-Image-1 generates high-quality images with strong style control and consistency for creative teams and interactive design tools.

Inputs: Text, Images
Outputs: Images
Context: Up to 8K tokens
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Sora

Best for long, consistent video generation

If you need cinematic, multi-scene videos from text or storyboard prompts, Sora creates long, consistent, and highly realistic shots. Try it out to get creative production, prototyping, and advanced video operations.

Inputs: Text, Images
Outputs: Video
Context: N/A

Legacy OpenAI models

The following legacy ChatGPT models have been replaced by newer options, specifically, the GPT-5 family, which is available in Lorka AI. However, they're still part of the all AI GPT models list for teams that need AI integration and budget options.

  • GPT-4 Turbo: A faster version of GPT-4, which was surpassed by GPT-4.1 and GPT-5 in capability that can still be useful for older setups that expect its function.
  • GPT-4: The original GPT-4 flagship is still considered relevant where teams want to keep using validated prompts and outputs.
  • GPT-3.5 Turbo: A popular chat model that's been overtaken by GPT-4.x and GPT-5 in quality, but can still be useful for high-volume tasks.
  • DALL·E 2 / DALL·E 3: Earlier image generation models, replaced by GPT-Image-1. However, they're sometimes kept for compatibility with existing creative algorithms.
  • Previous Whisper versions: Older transcription models that do not have the accuracy and efficiency of Whisper v3, but may still feature legacy voice tools.
  • Original GPT-3 series: Early-generation GPT models now far behind GPT-4 and GPT-5 in reasoning and output quality, but kept by teams for historical projects and long-standing integrations.

How to Choose the Right OpenAI Model for Professional, Academic, or Everyday Solutions

Selecting the best OpenAI model depends on the type of work you're doing and how fast you need results. Use this guide to match each task with the model that works most effectively:

  • For precision and contextual accuracy: Choose GPT-5.2 for more sensitive tasks that require deep context understanding and more accurate outputs.
  • For advanced reasoning: Try GPT-5.1 for strong logic, or o3-pro for precise, structured reasoning processes.
  • For multimodality: Pick GPT-4o if you need to work with text, images, and audio in the same project as a presentation for work.
  • For everyday chat and assistants: Use GPT-5 Chat, the smoothest model for conversational tasks.
  • For maximum speed: Go with the nano models across GPT-5 or GPT-4.1 when response time is your top priority.
  • For open-source tasks: Select GPT-oss models when you want full transparency, model control, or self-service options.
  • For image generation: Use GPT-Image-1 for high-quality visuals with strong stylistic control.
  • For video generation: Work with Sora to produce long, realistic videos from text or storyboard prompts.

Test out any of these tools today with Lorka to get fast, detailed responses for your projects, research, and day-to-day tasks.

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