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LLM Comparison

Learn about our 20+ LLMs

Updated this week

This is a snapshot of the popular LLMs that are available on the Hatz AI platform. Please note that the context window and max output token limits are approximate and not always accurate, depending on the type of request and other factors.

Company

Model

Reasoning?

Check out our "Reasoning Models" article

Vision

Input Tokens / Words***

Output Tokens / Words

Knowledge Cutoff Date

OpenAI

GPT 3.5 Turbo

16K / 12K

4K / 3K

September 2021

OpenAI

GPT 4

8K / 6K

8K / 6K

December 2023

OpenAI

GPT 4o

Yes

128K / 96K

4K / 3K

December 2023

OpenAI

o1

Yes

200K / 150K

100K / 75K

December 2023

OpenAI

o3-mini

Yes

200K / 150K

100K / 75K

December 2023

OpenAI

GPT 4.5 Preview

Yes

128K / 96K

16K / 12K

December 2023

Anthropic

Claude 3 Sonnet

200K / 150K

4K / 3K

August 2023

Anthropic

Claude 3 Haiku

200K / 150K

4K / 3K

August 2023

Anthropic

Claude 3.5 Sonnet v2

Yes

200K / 150K

8K / 6K

April 2024

Anthropic

Claude 3.7 Sonnet

Yes (hybrid)

Yes

200K / 150K

8K / 6K

October 2024

xAI

Grok 2

Yes

132K / 97K

132K / 97K

July 2024

xAI

Grok 2 Vision

Yes

Yes

132K / 97K

132K / 97K

July 2024

Google

Gemini 1.5 Flash

Yes

1 Million / 750K

8K / 6K

November 2023

Google

Gemini 1.5 Pro

Yes

2 Million / 1.5 Million

8K / 6K

November 2023

Google

Gemini 2.0 Flash

Yes

1 Million / 750K

8K / 6K

June 2024

Google

Gemini 2.0 Flash Lite

Yes

1 Million / 750K

8K / 6K

June 2024

MistralAI

Mistral Large

32K / 24K

4K / 3K

October 2023

MistralAI

Mistral 7B Instruct

Mistral AI

Mistral 8x7B Instruct

DeepSeek

DeepSeek R1

Yes

Yes

32K / 24K

32K / 24K

July 2024

Meta

Llama 3.2 1B Instruct

Meta

Llama 3.2 11B Instruct

Yes

Meta

Llama 3.2 70B Instruct

Meta

Llama 3.2 8B Instruct

***In some cases, tokens are not just words. If you upload a PDF with images, tokens will applied to interpret the images in addition to the words. If you upload a PNG or JPG with no words, tokens will still be used to understand the image.

Use Cases by Company

OpenAI

Sentiment Analysis

Content Generation

Process Automation

Anthropic

RFP Responses

Content Generation

Coding

xAI

Reasoning

Google

Analyzing large documents

Summarizing reports

Mistral

Translating

Trained with non-English data

Meta

Customer Support

Small, short tasks

DeepSeek

Reasoning

Token

  • The smallest unit of data that an LLM processes

  • Usually about 3/4 of a word

  • If you want to see how many INPUT tokens something is, use this site (it works best for OpenAI models):

    ***In some cases, tokens are not just words. If you upload a PDF with images, tokens will applied to interpret the images in addition to the words. If you upload a PNG or JPG with no words, tokens will still be used to understand the image.

Context Window

  • The segment of text that an AI model considers at any given moment when processing or generating language

  • You can think of this as the size of the input

  • If you upload a file (PDF, PNG, XLSX, etc) that is below the 30MB limit, but it is larger than the context window for the selected LLM, the request will fail. Try switching to a larger model, like Gemini

Knowledge Cutoff Date

  • The date that the LLM stopped "learning" new information. If you ask GPT 3.5 Turbo about an event that happened yesterday, it will not have that data

Reasoning

Reasoning models are a type of AI model that are trained to engage in "thinking" before providing an answer, breaking down problems into steps and showing their reasoning process, unlike models that directly generate answers.

They can take more time to answer because they are reflecting on their analysis step-by-step.

Vision

Computer vision gives LLMs the ability to "see" and interpret visual data like images and videos, enabling them to identify objects, classify scenes, and perform tasks that mimic human vision.

On Hatz AI, if you see this image:

next to an AI Model in the model selector, then you can upload image files like JPGs and PNGs.

More Info

To dive deeper into these LLMs, check out these resources*

*Some features outlined on these sites might not be available on the Hatz AI platform, or they might work differently than explained here. Use these articles to better understand the token limits, reasoning models, and use cases.

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