Mixtral 8x22B is the latest open model. It sets a new standard for performance and efficiency within the AI community. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size.
xAI led by Elon Musk, has recently announced the launch of Grok 1.5. This latest large language model comes with improved reasoning capabilities and a context length of 128,000 tokens. It is capable of long-context understanding and advanced reasoning.
With this latest launch, the race for the most powerful language model heats up! But how do you choose the best out of all?
Well, this article will help you choose the one that suits your requirements, focusing on the top differences.
Grok 1.5 vs Mistral vs Claude vs GPT-4 vs Gemini
Grok 1.5: Grok-1.5 is an enhanced version of the chatbot platform, Grok. With improved benchmarks, it can provide better responses, faster, on various tasks. At the same time, I would love to see the data on just how many people are using Grok at present. xAI says that the latest version of Grok will bring it up to par with other chatbots on the market and even exceed them on several benchmarks.
It will be made available to early testers and existing Grok users on X in the coming days.
Mistral: Mixtral 8x22B is the latest open model which sets a new standard for performance and efficiency within the AI community. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size.
Mixtral 8x22B comes with the following strengths:
- It is fluent in English, French, Italian, German, and Spanish
- It has strong mathematical and coding capabilities
- It is natively capable of function calling; along with the constrained output mode implemented on ‘La Plateforme’, this enables application development and tech stack modernization at scale
- Its 64K token context window allows precise information recall from large documents
Mixtral 8x22B Efficiency: Mixtral 8x22B is a natural continuation of our open model family. Its sparse activation patterns make it faster than any dense 70B model, while being more capable than any other open-weight model (distributed under permissive or restrictive licenses). The base model’s availability makes it an excellent basis for fine-tuning use cases.
Claude: Claude is a next-generation AI assistant built for work and trained to be safe, accurate, and secure. It can process large amounts of information, brainstorm ideas, generate text and code, help you understand subjects, coach you through difficult situations, simplify your busy work so you can focus on what matters most, and so much more.
GPT 4: It stands for Generative Pre-trained Transformer 4. The multimodal large language model was created by OpenAI and is the fourth in its series of GPT foundation models. It is among the most innovative and cooperative tools available today. The AI platform’s vast general knowledge and problem-solving skills enable it to solve challenging problems more accurately. Its primary functionalities encompass content creation, editing, and collaborative iteration with users on creative and technical writing assignments, including songwriting, screenplay writing, and user-style analysis.
Gemini: Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. This multimodal tool is the most capable LLM, the result of large-scale collaborative efforts by teams across Google. It can generalize and seamlessly understand, and it operates across and combines different types of information, including text, code, audio, image, and video.
Anthropic Claude 3 vs ChatGPT 4 vs Gemini Ultra 1.0: What are the Key Differences?
What Are The Benchmark Differences Between Grok 1.5, Mistral, Claude, GPT-4 & Gemini?
This analysis compares five titans: Grok 1.5, Mistral, Claude, GPT-4, and Gemini. We dive into benchmark results across key areas like reasoning, comprehension, and context understanding. While Claude shines in general reasoning and GPT-4 dominates reading comprehension, Gemini boasts an impressive ability to handle massive amounts of information. But remember, benchmarks aren’t everything. Choosing the right LLM depends on your specific needs!
| Benchmark | Grok-1 | Grok-1.5 | Mistral Large | Claude 2 | Claude 3 Sonnet | Gemini Pro 1.5 | GPT-4 | Claude 3 Opus |
| MMLU | 73%5-shot | 81.3%5-shot | 81.2%5-shot | 75%5-shot | 79%5-shot | 83.7%5-shot | 86.4%5-shot | 86.85-shot |
| MATH | 23.9%4-shot | 50.6%4-shot | — | — | 40.5%4-shot | 58.5%4-shot | 52.9%4-shot | 61%4-shot |
| GSM8K | 62.98-shot | 90%8-shot | 81%5-shot | 88%0-shot CoT | 92.3%0-shot CoT | 91.7%11-shot | 92%5-shot | 95%0-shot CoT |
| HumanEval | 63.2%0-shot | 74.1%0-shot | 45.1%0-shot | 70%0-shot | 73%0-shot | 71.9%0-shot | 67%0-shot | 84.9%0-shot |
As per the official blog, one of the most notable improvements in Grok-1.5 is its performance in coding and math-related tasks. In tests, Grok-1.5 achieved a 50.6% score on the MATH benchmark and a 90% score on the GSM8K benchmark, two math benchmarks covering a wide range of grade school to high school competition problems. Also, it scored 74.1% on the HumanEval benchmark, which evaluates code generation and problem-solving abilities.
Groq vs ChatGPT vs Gemini AI: What are the Key Differences You Need to Know?
Which one to choose between Grok 1.5, Mistral, Claude, GPT-4 & Gemini?
The best LLM for you depends on the specific task you want it to perform. For example, GPT-4 or Gemini would be strong choices due to their long context understanding. Gemini excels in this area with its 1 million token window.
Claude might be a good fit, especially if factual accuracy is less critical.
GPT-4 is a standout with its exceptional performance on benchmarks like HellaSwag.
Consider GPT-4 or Gemini, as they are both constantly being updated and improved.
Also, it is important to remember that not all LLMs are publicly available yet. Also, few of them are based on a subscription-based model.
