OpenAI LLM Model

An OpenAI LLM Model is a proprietary commercial transformer-based autoregressive language model by OpenAI, Inc. (that can generate OpenAI LLM output from OpenAI LLM input).

• AKA: OpenAI Language Model, OpenAI GPT Model, OpenAI LLM.
• Context:
  • It can typically process OpenAI LLM Input Tokens through OpenAI LLM context windows ranging from 8,000 OpenAI LLM tokens to 1,000,000 OpenAI LLM tokens.
  • It can typically generate OpenAI LLM Output Text through OpenAI LLM sequential prediction with OpenAI LLM causal attention.
  • It can typically utilize OpenAI LLM Training Data from OpenAI LLM web corpuses, OpenAI LLM code repositorys, and OpenAI LLM curated datasets.
  • It can typically employ OpenAI LLM Reinforcement Learning through OpenAI LLM human feedback for OpenAI LLM alignment.
  • It can typically demonstrate OpenAI LLM Emergent Capabilitys through OpenAI LLM scale-dependent behaviors at OpenAI LLM parameter thresholds.
  • ...
  • It can often support OpenAI LLM Multi-Modal Processing through OpenAI LLM vision encoders and OpenAI LLM audio processors.
  • It can often enable OpenAI LLM Fine-Tuning through OpenAI LLM adapter layers for OpenAI LLM task specialization.
  • It can often provide OpenAI LLM Function Calling through OpenAI LLM structured outputs for OpenAI LLM tool integration.
  • It can often maintain OpenAI LLM Version Control through OpenAI LLM model dating and OpenAI LLM deprecation schedules.
  • ...
  • It can range from being a Small OpenAI LLM Model to being a Large OpenAI LLM Model, depending on its OpenAI LLM parameter count.
  • It can range from being a Base OpenAI LLM Model to being an Instruction-Tuned OpenAI LLM Model, depending on its OpenAI LLM training objective.
  • It can range from being a Text-Only OpenAI LLM Model to being a Multi-Modal OpenAI LLM Model, depending on its OpenAI LLM input modality.
  • It can range from being a Short-Context OpenAI LLM Model to being a Long-Context OpenAI LLM Model, depending on its OpenAI LLM context window size.
  • It can range from being a Standard OpenAI LLM Model to being a Reasoning OpenAI LLM Model, depending on its OpenAI LLM computational approach.
  • It can range from being an Economy OpenAI LLM Model to being a Premium OpenAI LLM Model, depending on its OpenAI LLM pricing tier.
  • ...
  • It can integrate with OpenAI API Service for OpenAI LLM deployment and OpenAI LLM access control.
  • It can utilize OpenAI LLM Infrastructure for OpenAI LLM computation and OpenAI LLM serving.
  • It can follow OpenAI LLM Safety Protocols for OpenAI LLM content moderation and OpenAI LLM harm prevention.
  • It can operate within OpenAI LLM Rate Limits for OpenAI LLM resource management and OpenAI LLM fair usage.
  • It can leverage OpenAI LLM Embedding Space for OpenAI LLM semantic representation and OpenAI LLM similarity computation.
  • ...
• Examples:
  • OpenAI GPT-5 LLM Model (2025-08-07), with OpenAI LLM unified reasoning and OpenAI LLM thinking modes.
  • OpenAI GPT-4.1 LLM Models (2025-04-14), such as:
    • OpenAI GPT-4.1 LLM Model, with 1,000,000 OpenAI LLM tokens context at $2.00/$8.00 per million OpenAI LLM tokens.
    • OpenAI GPT-4.1 Mini LLM Model, with 1,000,000 OpenAI LLM tokens context at $0.40/$1.60 per million OpenAI LLM tokens.
    • OpenAI GPT-4.1 Nano LLM Model, with 1,000,000 OpenAI LLM tokens context at $0.10/$0.40 per million OpenAI LLM tokens.
  • OpenAI o-Series LLM Models (2024-2025), such as:
    • OpenAI o3 LLM Model (2025-04-16), with 200,000 OpenAI LLM tokens context at $10.00/$40.00 per million OpenAI LLM tokens.
    • OpenAI o4-mini LLM Model (2025-04-16), with 200,000 OpenAI LLM tokens context at $1.10/$4.40 per million OpenAI LLM tokens.
    • OpenAI o3-mini LLM Model (2025-01), with 200,000 OpenAI LLM tokens context at $1.10/$4.40 per million OpenAI LLM tokens.
    • OpenAI o1 LLM Model (2024-12-17), with 200,000 OpenAI LLM tokens context at $15.00/$60.00 per million OpenAI LLM tokens.
  • OpenAI GPT-4o LLM Models (2024-05-13), such as:
    • OpenAI GPT-4o LLM Model, with 128,000 OpenAI LLM tokens context at $2.50/$10.00 per million OpenAI LLM tokens.
    • OpenAI GPT-4o Mini LLM Model, with 128,000 OpenAI LLM tokens context at $0.15/$0.60 per million OpenAI LLM tokens.
    • OpenAI GPT-4o Audio LLM Model, with OpenAI LLM real-time processing for OpenAI LLM speech interaction.
  • OpenAI GPT-4 LLM Models (2023-03-14), such as:
    • OpenAI GPT-4 Turbo LLM Model, with 128,000 OpenAI LLM tokens context.
    • OpenAI GPT-4 LLM Model, with 8,192 OpenAI LLM tokens context.
    • OpenAI GPT-4-32k LLM Model, with 32,768 OpenAI LLM tokens context.
  • OpenAI GPT-3.5 LLM Models (2022-11-30), such as:
    • OpenAI GPT-3.5 Turbo LLM Model, with 16,385 OpenAI LLM tokens context.
    • OpenAI GPT-3.5 Turbo Instruct LLM Model, with OpenAI LLM instruction following.
  • OpenAI GPT-3 LLM Models (2020-06-11), such as:
    • OpenAI GPT-3 Davinci LLM Model, with 175 billion OpenAI LLM parameters.
    • OpenAI GPT-3 Curie LLM Model, with 6.7 billion OpenAI LLM parameters.
    • OpenAI GPT-3 Babbage LLM Model, with 1.3 billion OpenAI LLM parameters.
    • OpenAI GPT-3 Ada LLM Model, with 350 million OpenAI LLM parameters.
  • OpenAI GPT-2 LLM Models (2019-02-14), such as:
    • OpenAI GPT-2 XL LLM Model, with 1.5 billion OpenAI LLM parameters.
    • OpenAI GPT-2 Large LLM Model, with 774 million OpenAI LLM parameters.
    • OpenAI GPT-2 Medium LLM Model, with 345 million OpenAI LLM parameters.
    • OpenAI GPT-2 Small LLM Model, with 117 million OpenAI LLM parameters.
  • OpenAI GPT-1 LLM Model (2018-06-11), with 117 million OpenAI LLM parameters and OpenAI LLM foundational architecture.
  • OpenAI Specialized LLM Models, such as:
    • OpenAI Codex LLM Model, for OpenAI LLM code generation and OpenAI LLM programming assistance.
    • OpenAI Whisper LLM Model, for OpenAI LLM speech transcription and OpenAI LLM audio processing.
    • OpenAI DALL-E LLM Model, for OpenAI LLM image generation from OpenAI LLM text prompts.
  • ...
• Counter-Example(s):
  • Anthropic Claude LLM Model, which uses constitutional AI training instead of OpenAI LLM training methodology.
  • Google Gemini LLM Model, which employs Google-specific architecture rather than OpenAI LLM architecture.
  • Meta Llama LLM Model, which provides open-source distribution unlike OpenAI LLM proprietary licensing.
  • Mistral AI LLM Model, which offers European AI approach different from OpenAI LLM American methodology.
  • Open-Source LLM Model, which enables community modification not available in OpenAI LLM closed system.
• See: Autoregressive Language Model, Transformer-Based Language Model, Decoder-Only Transformer LLM, Commercial AI System, LLM Pricing Model, AI API Service, Reinforcement Learning from Human Feedback.

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References

2024-09-20

• LLM

Comparison of OpenAI Models

Model	Input Tokens Cost	Output Tokens Cost	Context Window	Output Limit	Focus
o1-preview	$15 per million (3x)	$60 per million (4x)	128k	32k (7.8x)	Advanced reasoning, complex problem-solving
o1-mini	$3 per million (0.6x)	$12 per million (0.8x)	128k	64k (15.6x)	Speed and efficiency, focused reasoning
GPT-4o	$5 per million (1x)	$15 per million (1x)	128k	4,096 (1x)	Multimodal reasoning (text, vision, audio)
GPT-4o mini	$0.15 per million (0.03x)	$0.60 per million (0.04x)	128k	16,384 (4x)	Cost-efficient, fast reasoning, coding

2023

• Python

model_lst = openai.Model.list()
for model in filtered_model_data:
   print('{:25s} {:15s} {:20s}'.format(model['id'], datetime.fromtimestamp(model['created']).strftime("%Y-%m-%d"), model['owned_by']))

Model ID                  Created Date    Model Name          
ada                       2022-04-07      openai              
babbage                   2022-04-07      openai              
davinci                   2022-04-07      openai              
curie                     2022-04-07      openai              
curie-instruct-beta       2022-04-07      openai              
davinci-instruct-beta     2022-04-07      openai              
text-davinci-001          2022-04-07      openai              
text-ada-001              2022-04-07      openai              
text-babbage-001          2022-04-07      openai              
text-curie-001            2022-04-07      openai              
text-davinci-edit-001     2022-04-13      openai              
code-davinci-edit-001     2022-04-13      openai              
text-davinci-002          2022-04-13      openai              
gpt-3.5-turbo             2023-02-28      openai              
gpt-3.5-turbo-0301        2023-03-01      openai              
gpt-3.5-turbo-16k-0613    2023-05-30      openai              
gpt-3.5-turbo-0613        2023-06-12      openai              
gpt-4-0613                2023-06-12      openai              
gpt-4-0314                2023-06-27      openai              
gpt-4                     2023-06-27      openai

2023

• https://platform.openai.com/docs/models/
  • QUOTE: The OpenAI API is powered by a diverse set of models with different capabilities and price points. You can also make limited customizations to our original base models for your specific use case with fine-tuning.

Latest model	Description	Max tokens	Training data
gpt-4	More capable than any GPT-3.5 model, able to do more complex tasks, and optimized for chat. Will be updated with our latest model iteration.	8,192 tokens	Up to Sep 2021
gpt-4-0314	Snapshot of gpt-4 from March 14th 2023. Unlike gpt-4, this model will not receive updates, and will only be supported for a three month period ending on June 14th 2023.	8,192 tokens	Up to Sep 2021
gpt-4-32k	Same capabilities as the base gpt-4 mode but with 4x the context length. Will be updated with our latest model iteration.	32,768 tokens	Up to Sep 2021
gpt-4-32k-0314	Snapshot of gpt-4-32 from March 14th 2023. Unlike gpt-4-32k, this model will not receive updates, and will only be supported for a three month period ending on June 14th 2023.	32,768 tokens	Up to Sep 2021

2023

• Pascale Fung. (2023). “ChatGPT: What It Can and Cannot Do?." Presentation
  • .

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