The AI (artificial intelligence) race is heating up. Anthropic, the AI safety and research company has released its latest AI model, Claude 3.5 Sonnet. According to the company, the newest model “raises the industry bar for intelligence, outperforming competitor models and Claude 3 Opus on a wide range of evaluations, with the speed and cost of our mid-tier model, Claude 3 Sonnet.”
Claude 3.5 Sonnet is believed to be better than OpenAI’s latest flagship model, GPT-4o, and Google’s Gemini 1.5, both of which are considered to be some of the most powerful AI models available at present.
With the release of 3.5 Sonnet, the AI community has been buzzing with excitement to find out which model will be crowned the ultimate LLM.
This article will offer a comprehensive guide to the difference between the three LLMs. But, before we get to the comparison, let’s take a closer look at the features and capabilities of Claude 3.5 Sonnet, GPT-4o, and Gemini 1.5.
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Claude 3.5 Sonnet
Developed by Anthropic, Claude 3.5 Sonnet is a significant leap in conversational AI capabilities. It is designed to handle nuanced and complex dialogues with remarkable proficiency.
Key Features:
- It is good at keeping conversations coherent and relevant to the context. Claude 3.5 Sonnet also excels at dealing with longer context windows with improved accuracy.
- Claude 3.5 Sonnet includes advanced safety procedures, such as fine-tuning to decrease harmful outputs and enhance fairness in its use of AI.
- This model understands both text and images, increasing its capacity to process and generate content across different media forms.
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GPT-4o
OpenAI’s GPT-4o (“o” for “omni”) is the latest version of OpenAI’s flagship GPT model. It integrates text, audio, image, and video inputs, and provides a more natural and efficient human-computer interaction experience.
Key Features:
- GPT-4o can process and generate text, audio, and images. Overall, it is a versatile tool for various applications.
- The model responds to audio inputs in as little as 232 milliseconds, with an average response time of 320 milliseconds.
- GPT-4o is twice as fast and 50% cheaper in the API compared to its predecessors.
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Gemini 1.5
Gemini 1.5 builds on the foundation of Gemini 1.0, introducing significant enhancements in performance and context window capabilities. It leverages a Mixture-of-Experts (MoE) architecture to optimize its efficiency and effectiveness.
Key Features:
- Gemini 1.5 can process up to 1 million tokens consistently, the longest context window of any large-scale model to date. It can handle vast amounts of information in a single prompt.
- The MoE architecture allows the model to selectively activate relevant neural pathways, improving efficiency and performance.
- Google’s Gemini 1.5 excels in understanding and reasoning across different modalities, including text, image, and video.
Claude 3.5 Sonnet vs GPT-4o vs Gemini 1.5
Claude 3.5 Sonnet outperformed Claude 3 Opus in an internal agentic coding evaluation, solving 64% of problems and outperforming Claude 3 Opus by 38%. Its sophisticated reasoning, troubleshooting capabilities, and ease of code translation make it effective. It also outscored GPT-4o and Gemini 1.5.
Here are a few more differences between the three models:
Multimodal Capabilities:
- GPT-4o stands out with its ability to seamlessly integrate and generate outputs across text, audio, and images. It is the most versatile in terms of multimodal interaction.
- Gemini 1.5 also supports multimodal inputs and excels in long-context understanding, processing extensive amounts of data efficiently.
- Claude 3.5 Sonnet focuses primarily on text and image. It also offers a strong coding proficiency and collaborative features through Artifacts.
Speed and Efficiency:
- GPT-4o offers the fastest response times and is the most cost-efficient. It provides a high-performance model at a lower price point.
- Gemini 1.5 achieves efficiency through its MoE architecture, optimizing resource use while handling large context windows.
- Claude 3.5 Sonnet operates at double the speed of its predecessor, Claude 3 Opus. It is more efficient for real-time applications and complex tasks requiring rapid processing and response times.
Contextual Understanding:
- Gemini 1.5 leads in long-context processing, capable of handling up to 1 million tokens, which is unmatched by the other models.
- GPT-4o has a context length of 128,000 tokens or about 96,000 words.
- Claude 3.5 Sonnet provides robust contextual understanding but with a shorter context window of 200,000 tokens.
Reddit user r/LocalLLaMA, compared Claude 3.5 Sonnet with GPT-4o on three benchmarks:
- Data extraction from legal contracts,
- Customer ticket classification; and
- Verbal reasoning on math riddles.
The user observed the following:
- Data Extraction: Both models achieved a moderate success rate of 60-80% in accurately identifying data from legal contracts. However, neither outperformed the other.
- Classification: Sonnet 3.5 demonstrated a mean accuracy of 72%, surpassing GPT-4o’s 65%. However, GPT-4o exhibited higher precision at 86.21%, crucial for precise customer ticket classification, compared to Sonnet 3.5 at 85%.
- Verbal Reasoning: GPT-4o led with 69% accuracy in solving graduate and middle-level riddles. It showed proficiency in specific calculations and antonym identification. Sonnet 3.5 performed well in analogy questions but struggled with numerical data, resulting in a lower overall accuracy of 44% on this task.
You can check the whole analysis here.
Here are the differences between the three models:
| Feature | Claude 3.5 Sonnet (Anthropic) | GPT-4o (OpenAI) | Gemini 1.5 (Google AI) |
| Focus | Frontier intelligence for complex tasks | Multimodal (text, audio, video) | Improved usability, various tasks |
| Strengths | Reasoning, knowledge (text) – Code generation/editing, efficient | Real-time reasoning across modalities – Improved non-English, faster/cheaper | Long-context understanding (1M tokens) – Efficient architecture, multimodal |
| Safety | Rigorous testing, safety commitment | Safety measures, evaluations, red teaming | Extensive ethics and safety testing |
| Availability | Claude.ai, Anthropic API, GCP Vertex AI | Text/image rollout in ChatGPT (free/Plus tiers) | Google AI Studio/Vertex AI |
Which model is better?
It is not possible to definitively answer which of the three is “better.”
- Claude 3.5 Sonnet is the best option for complex reasoning and tasks that heavily rely on text understanding. It excels in these areas and offers a good balance of performance and cost.
- For real-time processing across different media formats (text, audio, video), OpenAI’s GPT-4o is a better choice. Its focus on multimodal capabilities makes it ideal for handling various data types simultaneously.
- Google AI’s Gemini 1.5 shows promise for future-oriented tasks requiring massive context and efficient handling of large datasets, especially with its 1 million token context window.
Ultimately, the better LLM model depends on the user’s preferences and needs.
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