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Deepseek R1 Vs Gpt O1 Vs Claude 3 5 Sonnet Which Is Best For Coding

Bonisiwe Shabane
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deepseek r1 vs gpt o1 vs claude 3 5 sonnet which is best for coding

We’re in the first month of 2025 and already have a few benchmark-breaking AI models for coding: Mistral’s Codestral 25.01 and the recently released DeepSeek R1 model. But since we’ve already covered Codestral 25.01, this article is all about DeepSeek R1. We compare OpenAI’s GPT-o1 and Claude 3.5 Sonnet for coding tasks and give a technical overview and pricing for each model. But before we get into that, first let’s overview DeepSeek R1 and its model variants. DeepSeek R1 (where R stands for reasoning) is a newly released class of LLM models developed by the Chinese AI lab DeepSeek, designed specifically for tasks requiring complex reasoning and programming assistance. Currently, DeepSeek has released two variants of its model: DeepSeek-R1-Zero and DeepSeek-R1.

They employ a Mixture-of-Experts (MoE) and large-scale reinforcement learning (RL) architecture, allowing them to activate only a subset of its parameters for each token processed. This new design enhances their computational efficiency while maintaining high performance in generating and debugging code. For our comparison, we’ll be focusing on the main ‘R1’ model. OpenAI o1 is known for its advanced reasoning capabilities and has demonstrated solid performance in coding tasks, achieving a Codeforces rating of 2061, which places it in the 89th percentile among competitive programmers. Its architecture allows it to generate coherent code snippets and provide explanations, making it a popular choice among developers. However, its pricing is significantly higher, costing $60 per million output tokens compared to DeepSeek R1, which offers similar coding capabilities at about $4.40 per million output tokens.

In this article on DeepSeek vs Claude, we'll explore everything you need to know about these powerful AI models: Elephas - a Mac AI assistant that works with both models Which AI is the best choice for different needs By the end of this article, you'll have a clear understanding of the strengths and weaknesses of both AI models to make an informed decision about which one better suits your requirements. DeepSeek is a new AI chatbot that's getting a lot of attention. It was created in China and offers smart AI model features for free that are provided by companies like ChatGPT at a premium.

What makes it special is how it balances being very powerful while still being available to regular users. With new AI models popping up almost daily see which LLMs fit best - ChatGPT vs DeepSeek vs Claude With new AI models popping up almost daily, development teams often find themselves asking, "Which one should we actually use?" It's a fair question – each model comes with its own set of strengths,... In this guide, we'll cut through the noise and take a practical look at three popular players: DeepSeek, ChatGPT (GPT-4 series), and Claude. Before diving into specific comparisons, let's take a quick tour of what makes each of these models tick. If you're working with complex reasoning tasks, DeepSeek might catch your attention.

It's good at pulling in relevant information to support its responses. If you like well-structured answers and like to give detailed instructions, you'll probably find DeepSeek's approach refreshing. ChatGPT, powered by OpenAI’s GPT-4 models, is widely adopted due to its versatility, strong instruction-following capabilities, and extensive fine-tuning for conversational tasks. It balances creativity with factual accuracy and is optimized for a variety of use cases, including coding, writing, and customer support. DeepSeek’s two models, DeepSeek V3 and R1 have been freshly added to Cursor. Many developers at the moment are using Claude 3.5 Sonnet (the latest version, claude-3-5-sonnet-20241022) as their primary LLM in Cursor (including myself), so I wanted to test out these models and see how they...

Update: o3-mini was just released and added to Cursor as well! For tests that take a look at o3-mini as well as Gemini 2 Flash (experimental), check the following out as well: If you haven’t heard of them yet, DeepSeek is a Chinese AI startup that’s been blowing up in the news this week as it’s just open-sourced its DeepSeek R1 model, which is boasting competitive... Its coding-related benchmarks show that it should be better than both Claude 3.5 Sonnet and GPT-4o most of the time, which is promising. Cursor as always is quick to add new models, so let’s dive into a practical comparison! Get a detailed comparison of AI language models DeepSeek's DeepSeek-R1 and Anthropic's Claude 3.5 Sonnet, including model features, token pricing, API costs, performance benchmarks, and real-world capabilities to help you choose the right LLM...

DeepSeek-R1 is a 671B parameter Mixture-of-Experts (MoE) model with 37B activated parameters per token, trained via large-scale reinforcement learning with a focus on reasoning capabilities. It incorporates two RL stages for discovering improved reasoning patterns and aligning with human preferences, along with two SFT stages for seeding reasoning and non-reasoning capabilities. The model achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. The upgraded Claude 3.5 Sonnet delivers across-the-board improvements over its predecessor, with particularly significant gains in coding—an area where it already led the field. The model is the first frontier AI to offer computer use in public beta. It has demonstrated wide-ranging improvements on industry benchmarks, especially in coding and tool use tasks.

Available through various APIs like Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. Claude 3.5 Sonnet is 3 months older than DeepSeek-R1. Claude 3.5 Sonnet has a larger context window (200K vs 128K tokens). Compare costs for input and output tokens between DeepSeek-R1 and Claude 3.5 Sonnet. The new DeepSeek R1 model from China launched last week. If you’re into AI or even into technology more broadly, it was hard to miss the news.

Everyone was talking about it. But it’s not just that. It’s the way everyone was talking about it. I was left with the impression that DeepSeek is going to drive a stake through the heart of OpenAI and Anthropic. But we all know how the internet works. Whenever some shiny new AI toy is released there’s always a lot of chatter and excitement.

Sometimes it lives up to the hype. Other times it fizzles out and turns into a historical ArtifactArtifact was a much-hyped, short-lived, now-defunct AI-powered news app that was launched in 2023 by Instagram's founders. It shut down in January 2024 due to low user interest.. Only time will tell. But if you’re curious about it and want to get an overview of what it’s capable of without testing it yourself, then you’re in the right place. After reading about ten articles on how amazing it is, I decided to take it for a spin.

Keep reading to learn more about the experiments I ran and what I discovered about DeepSeek’s strengths and limitations. Oh, and there was that “censorship feature” as well. 😱 I spent a few hours of quality time with DeepSeek this past Sunday and ran it through a battery of tests. For some of the more technical ones I asked Claude 3.5 Sonnet to generate a prompt for me and I fed this prompt to both DeepSeek and GPT-o1. In addition, I asked Claude to produce an answer to its own prompt.

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