claude 3.5 sonnet vs gpt 4o vs gemini 1.5
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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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:
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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:
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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:
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:
Reddit user r/LocalLLaMA, compared Claude 3.5 Sonnet with GPT-4o on three benchmarks:
The user observed the following:
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 |
It is not possible to definitively answer which of the three is “better.”
Ultimately, the better LLM model depends on the user’s preferences and needs.
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