AI Model Comparison AI Models at a Glance
  • By Shiva
  • Last updated: July 8, 2024

Quick AI Model Comparison Table: Top AI Models

All-in-One AI Model Comparison: GPT-4o, Llama 3, Gemini, Claude in a Single Table

In the dynamic world of artificial intelligence, 2024 has brought significant advancements and new competitors in the field of AI language models. Among these, models such as GPT-4o, Gemini 1.5 Pro, Claude 3.5 Sonnet, and others have emerged as frontrunners. This article delves into a detailed comparison of these leading AI models, highlighting their unique features, performance metrics, and ideal applications.


As artificial intelligence continues to evolve, the race to develop the most powerful and efficient AI models intensifies. Companies like OpenAI, Google, Meta, and Anthropic are at the forefront of this innovation, each offering models with distinct capabilities. Understanding the strengths and weaknesses of these models is crucial for businesses and developers aiming to integrate AI into their operations. This article will provide an in-depth analysis of the top AI models of 2024, based on quality, output speed, latency, price, and context window size.


AI Models at a Glance AI Model Comparison
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Quality of AI Models

Top Performers in Quality

The quality of an artificial intelligence model is a critical metric, reflecting its accuracy, reliability, and overall performance in generating human-like text. In 2024, the models leading in quality are OpenAI’s GPT-4o and Anthropic’s Claude 3.5 Sonnet. Both models have been recognized for their superior performance in understanding and generating coherent and contextually relevant responses. Following closely are Google’s Gemini 1.5 Pro and OpenAI’s GPT-4 Turbo, which also deliver high-quality outputs suitable for a wide range of applications.

Output Speed (Tokens/s)

Fastest Models

When it comes to output speed, Google’s models stand out. The Gemini 7B, with an impressive speed of 224 tokens per second, and Gemini 1.5 Flash, at 158 tokens per second, are the fastest models available. These models are particularly advantageous for applications requiring rapid response times and high throughput. Additionally, the Gemini 2 (9B) and Claude 3 Haiku also offer competitive speeds, making them suitable for real-time applications.

Latency (Seconds)

Models with Lowest Latency

Low latency is essential for applications that demand quick responses. The models with the lowest latency in 2024 are Mistral 7B and Mixtral 8x22B, with response times of 0.27 seconds and 0.28 seconds, respectively. These models are followed by Gemini 2 (9B) and Gemini 7B, which also offer low latency, making them ideal for interactive applications such as chatbots and virtual assistants.

Price per Million Tokens

Most Cost-Effective Models

Cost is a significant factor for businesses when selecting an AI model. The most cost-effective models in 2024 are OpenChat 3.5 and Gemini 7B, priced at $0.14 and $0.15 per million tokens, respectively. These models provide a balance between cost and performance, making them accessible for a broader range of applications. Other affordable options include Llama 3 (8B) and DeepSeek-V2, which also offer competitive pricing.

Context Window Size

Largest Context Windows

The size of the context window determines how much information an AI model can process at once, which is crucial for maintaining coherence in long conversations. Google’s Gemini 1.5 Pro and Gemini 1.5 Flash, with context windows of 1 million tokens, offer the largest capacities. These models are followed by Jamba Instruct and Claude 3.5 Sonnet, making them suitable for applications that require handling extensive data or long-form content generation.

AI Models at a Glance

Model Creator Context Window Quality Index Price (Blended) Output Tokens/s (Median) Latency (Median) Further Analysis
GPT-4o OpenAI 128k 100 $7.50 86.6 0.56 Model
GPT-4 Turbo OpenAI 128k 94 $15.00 28.7 0.61 Model
GPT-4 OpenAI 8k 84 $37.50 23.3 0.68 Model
GPT-3.5 Turbo Instruct OpenAI 4k 60 $1.63 108.8 0.58 Model
GPT-3.5 Turbo OpenAI 16k 59 $0.75 66.9 0.35 Model
Gemini 1.5 Pro Google 1m 95 $5.25 62.2 1.14 Model
Gemini 1.5 Flash Google 1m 84 $0.53 157.8 1.13 Model
Gemma 2 (9B) Google 8k 71 $0.20 137.6 0.29 Model
Gemini 1.0 Pro Google 33k 62 $0.75 88.8 2.15 Model
Gemma 7B Google 8k 45 $0.15 224.3 0.30 Model
Llama 3 (70B) Meta 8k 83 $0.90 50.9 0.43 Model
Llama 3 (8B) Meta 8k 64 $0.17 119.8 0.31 Model
Llama 2 Chat (70B) Meta 4k 57 $1.00 52.2 0.51 Model
Llama 2 Chat (13B) Meta 4k 39 $0.25 83.4 0.37 Model
Code Llama (70B) Meta 16k 34 $0.90 31.3 0.50 Model
Llama 2 Chat (7B) Meta 4k 29 $0.20 91.5 0.68 Model
Mistral Large Mistral 33k 76 $6.00 33.3 0.51 Model
Mixtral 8x22B Mistral 65k 71 $1.20 66.7 0.28 Model
Mistral Small Mistral 33k 71 $1.50 56.6 0.95 Model
Mistral Medium Mistral 33k 70 $4.05 37.9 0.61 Model
Mixtral 8x7B Mistral 33k 61 $0.50 89.9 0.34 Model
Mistral 7B Mistral 33k 40 $0.18 108.5 0.27 Model
Claude 3.5 Sonnet Anthropic 200k 98 $6.00 79.7 0.86 Model
Claude 3 Opus Anthropic 200k 93 $30.00 24.1 1.91 Model
Claude 3 Sonnet Anthropic 200k 80 $6.00 56.6 0.92 Model
Claude 3 Haiku Anthropic 200k 74 $0.50 120.0 0.52 Model
Claude 2.0 Anthropic 100k 70 $12.00 39.2 1.21 Model
Claude Instant Anthropic 100k 63 $1.20 88.5 0.56 Model
Claude 2.1 Anthropic 200k 55 $12.00 37.3 1.39 Model
Command Light Cohere 4k N/A $0.38 37.6 0.41 Model
Command Cohere 4k N/A $1.44 23.9 0.56 Model
Command-R+ Cohere 128k 75 $6.00 59.1 0.45 Model
Command-R Cohere 128k 63 $0.75 77.2 0.40 Model
OpenChat 3.5 OpenChat 8k 50 $0.14 70.4 0.32 Model



The AI landscape in 2024 is marked by significant advancements and diverse offerings from leading technology companies. OpenAI’s GPT-4o and Claude 3.5 Sonnet lead in quality, while Google’s Gemini series dominates in output speed and context window size. Mistral and Mixtral models offer the lowest latency, making them ideal for real-time applications. For cost-sensitive projects, OpenChat 3.5 and Gemini 7B provide excellent value.

Choosing the right AI model depends on the specific needs and priorities of your application. Whether it’s high quality, speed, low latency, cost-efficiency, or large context windows, the models discussed in this article offer various strengths to meet diverse requirements. By understanding these differences, businesses and developers can make informed decisions to leverage AI technology effectively.

For More In-Depth Analysis

If you’re interested in a more detailed and comprehensive analysis of these AI models, please visit our in-depth review. Click HERE to explore further insights and data on GPT-4o, Llama 3, Gemini, Claude, and more.


In this section, we have answered your frequently asked questions to provide you with the necessary guidance.

  • What are the key AI models compared in this article?

    This article compares leading AI models including OpenAI’s GPT-4o, Meta’s Llama 3, Google’s Gemini, and Anthropic’s Claude. Each model’s strengths, weaknesses, and best use cases are discussed.

  • How is the performance of these AI models evaluated?

    The performance of these AI models is evaluated based on several metrics including quality index, output speed (tokens per second), latency, price per million tokens, and context window size. These metrics provide a comprehensive understanding of each model’s capabilities.

  • Which AI model offers the best quality?

    According to the comparison, OpenAI’s GPT-4o and Anthropic’s Claude 3.5 Sonnet are the top performers in terms of quality, making them ideal for applications requiring high accuracy and reliability.

  • What is the most cost-effective AI model mentioned in the article?

    The most cost-effective AI models highlighted are OpenChat 3.5 and Gemini 7B, priced at $0.14 and $0.15 per million tokens, respectively. These models provide a balance between cost and performance, making them accessible for a wide range of applications.

  • How can I choose the right AI model for my needs?

    Choosing the right AI model depends on your specific requirements. If you need high-quality outputs, models like GPT-4o and Claude 3.5 Sonnet are ideal. For applications requiring rapid response times, consider models with high output speeds like Gemini 7B. For budget-friendly options, OpenChat 3.5 and Gemini 7B are recommended.