In the current date, GPT-3.5 Turbo and Mistral 7B are the most advanced models introducing high-end features in the market. They are capable of performing various difficult tasks including translation, summarization, official report creation, code generation, and a lot more!
However, in the article below (GPT-3.5 Turbo vs. Mistral 7B) we will be comparing the highlights of both of them. To let you know the major differences and for better understanding among them.
Here, you will also learn which AI software will be more beneficial for your projects, depending on your budget and use case.
Table of contents
Overview of GPT-3.5 Turbo and Mistral 7B
GPT-3.5 Turbo

GPT-3.5 Turbo is an advanced language model that is capable of deep understanding techniques. It was developed by OpenAI which mainly focused on generating results/outcomes for the users in the natural language.
GPT-3.5 Turbo is an enhanced version of GPT-3.5. If you have already been using the 3.5 version, then expect more efficiency, convenience, and reliability from the Turbo version. However, 3.5 Turbo also supports JSON mode.
It can be sometimes computationally intensive because of the giant model size.
Mistral 7B
On the other hand, Mistral 7B can be easily accessible under the Apache license (2.0 version). Here the parameter count is 7.2 billion which supports the software to create text for multiple NLP tasks.
It can easily deal with longer sequences up to 8000-token content length. Plus it has fast inference and is well-organized due to lower memory requirements. To get the tasks done more systematically, it uses 2 novel techniques such as;
GPT-3.5 Turbo vs. Mistral 7B (Performance Comparison)
Check out the performance comparison featuring GPT-3.5 Turbo vs. Mistral 7B!
Performance Measures of GPT-3.5 Turbo
- It is capable to create and understand tasks in natural language
- The developers have reduced the prompt size by 90% for more fined and enhanced instruction system
- It has the potential to deal with complicated instructions such as code, lengthy summarizations, etc.
- For the sake of fine-tuning, GPT-3.5 Turbo can handle input sequences of more than 4K tokens
- The size of the model is bigger than the previous version, which has increased its “run time”
Performance Measures of Mistral 7B

- Anyone can access it without any restrictions due to Mistral 7B being open-source
- To become cost-effective, it uses SWA (Sliding Window Attention) to deal with longer sequences of up to 8K tokens
- To enhance the inherence, it utilized GQA
- It can be used on GPU due to minimum memory usage
- It is designed to excel in coding and natural language tasks
- It outperforms Llama 1 34B and Llama 2 13B on several benchmarks
GPT-3.5 Turbo vs. Mistral 7B (Cost Comparison)
Well, Mistral 7B is more affordable than 3.5-Turbo. Here’s how!
Cost of GPT 3.5 Turbo
GPT-3.5 Turbo will cost you around 0.03 USD for each input token and 0.06 USD for each output token. However, the price can vary depending on the complexity of tasks and model.
Cost of Mistral 7B
It is a cost-effective solution for large-scale operations. It costs only a fraction of GPT-3.5 Turbo and is 9 times more economical. Hence, with 2.28 USD only you can process more than 15 million tokens.
Technical Comparison; GPT-3.5 Turbo vs. Mistral 7B
Presented below is a technical analysis featuring GPT-3.5 Turbo vs. Mistral 7B
GPT 3.5 Turbo | Mistral 7B |
It has a high command of comprehending languages at a deeper level. Which makes it versatile across multiple domains and language tasks | It is an ideal model for reliable processing and fast inference |
The parameter count is more than 20 billion | Mistral 7B is 7.3 billion parameters in size |
It has high resource demands | Consumes less resources |
It depends on the Standard Transformer Attention Mechanism in terms of performing complex tasks with excessive computational intensity | Mainly depends on 2 novel techniques; SWA & GQA |
Wrapping Up!
While wrapping up, GPT-3.5 Turbo and Mistral 7B, both of these Large Language Models are compatible for the users in terms of their respective features and prices.
GPT-3.5 Turbo completely relies on the OpenAI’s API. However, Mistral 7B utilizes “Reinforcement Learning from AI Feedback” to consistently improve its features.
No doubt, Mistral 7B is an economical choice and it is an emerging model these days due to its highly competitive features and potential in the market.
Moreover, the choice depends on the use case as well. So, be clear regarding the purposes for which you are investing in these models.
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