As a valued HopGPT customer, understanding the range of available large language models (LLMs) is important for your own business usage. This page provides essential information about the different models offered, their strengths, and how much they cost to use. Whether you’re looking for advanced reasoning capabilities, creative writing assistance, or coding support, we’re here to help you choose the right LLM for your specific needs.
Dive into the details below to guide your decision-making and optimize your use of our services.
Before you explore the table below, it’s important to understand the various headings associated with LLMs. Each heading represents a key feature of these systems:
- Reasoning: This refers to the model’s capability to go beyond mere data processing. It encompasses the ability to make inferences, solve problems, and support decision-making based on the information it analyzes.
- Code: This denotes the model’s proficiency in generating structured code outputs. Examples include programming languages and formats such as HTML, CSS, JSON, or SQL.
- Multimodal: This term describes AI systems that can process and analyze multiple types of data concurrently, integrating modalities such as text, images, audio, and video for a more comprehensive understanding.
- Knowledge Cutoff Date: This is the definitive date up to which the AI model is trained with information. Any developments, events, or data that arise after this date are not incorporated into the model’s knowledge base.
Available LLMs
| Model | Reasoning | Code | Multimodal | Best for | Knowledge Cutoff Date |
|---|---|---|---|---|---|
| GPT-5.2 (Open AI) |  | | | Coding, reasoning, conversation & creative writing | August 2025 |
| GPT-5.1 (Open AI) | | | | Coding, reasoning, conversation & creative writing | September 2024 |
| GPT-5/GPT-5 mini (Open AI) | | | | Coding, reasoning, conversation & creative writing | September 2024/ May 2024 |
| GPT-4.1 (Open AI) | | Coding | June 2024 | ||
| o3/o3 mini (OpenAI) | | Logic & mathematical reasoning | May 2024/ October 2023 |
||
| Claude Haiku 4.5 (Anthropic) | | Summarization & conversations | February 2025 | ||
| Claude Sonnet 4.5 (Anthropic) | | | Creative writing & coding | January 2025 | |
| Claude Opus 4.5 (Anthropic) | | | | Coding & reasoning | January 2025 |
| Llama 3.3 70b (Meta) | | Conversations & creative writing | December 2023 | ||
| Llama 4 Maverick (Meta) | | | Coding & reasoning | August 2024 |
Model Token Cost Information
Below is a summary of the token costs associated with various LLMs. This information is crucial for evaluating how different models can fit your budget while meeting your business requirements.
Note: Each model has two types of tokens: input tokens and output tokens. Input tokens are the pieces of text that you provide to the model as input. This could be a sentence, a question or any other kind of prompt the model needs to process. Output tokens are the pieces of text that the model generates as a response to the input.
Token costs are set by LLM vendors. Below are input and output costs per one million tokens.
| Model | Input Cost | Output Cost |
|---|---|---|
| Claude Haiku 4.5 | $1.00 | $5.00 |
| Claude Opus 4.5 | $5.00 | $25.00 |
| Claude Sonnet 4.5 | $3.00 | $15.00 |
| GPT 4.1 | $2.20 | $8.80 |
| GPT 5 | $1.38 | $11.00 |
| GPT 5 mini | $0.28 | $2.20 |
| GPT 5.1 | $1.38 | $11.00 |
| GPT 5.2 | $1.93 | $15.40 |
| Llama 3.3 | $0.72 | $0.72 |
| Llama 4 | $0.24 | $0.97 |
| o3 | $2.20 | $8.80 |
| o3 mini | $1.21 | $4.84 |