Mistral Large 2407

Mistral Large Instruct 2407 is an advanced language model developed by Mistral AI. It features 123 billion parameters and excels in reasoning, knowledge, and coding tasks. This model supports multiple languages, including English, French, and Spanish. It can also handle over 80 programming languages like Python and Java. Mistral Large Instruct 2407 is designed for complex tasks, making it a versatile tool for various applications.

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "mistralai/mistral-large-2407",
    messages: [
      {
        "role": "user",
        "content": "Write a blog about cat."
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="mistralai/mistral-large-2407",
  messages=[
    {
      "role": "user",
      "content": "Write a blog about cat."
    }
  ]
)
print(completion.choices[0].message.content)

Mistral Large 2407

ContextIt

Input$2 / M

Output$6 / M

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Description

Mistral Large 2407 is an advanced AI model. It was developed by Mistral AI and released in July 2024. This model has 123 billion parameters. It is great at reasoning, knowledge, and coding. Mistral Large 2407 can work with over 80 programming languages. These include Python, Java, and C++. 

The model can understand many languages. It supports English, French, and Spanish, among others. Mistral Large 2407 has a large context window of 128k tokens. It scores 84.0% on the MMLU evaluation benchmark. The model also has a 92% score on the HumanEval coding benchmark. 

Its ability to create coherent texts makes it very useful. Mistral Large 2407 shines in complex reasoning tasks. It can solve math problems with a score of 71.5% on specific math benchmarks. The model aims to provide solutions, not just answers. This makes it perfect for high-level cognitive tasks. 

However, Mistral Large 2407 lacks moderation mechanisms. Users need to be careful about its output accuracy. Overall, it is impressive in both language and coding tasks. For the best integration experience, use Mistral Large 2407 through our AIAPILAB services for better pricing options.

Model API Use Case

Mistral Large Instruct 2407 API has many uses. It is powerful and can handle different tasks. This model has 123 billion parameters. It also supports more than 80 programming languages, like Python and Java. 

One major use is automated code generation. Developers can quickly create code snippets using this API. For example, it can make a simple HTML/CSS profile card in just seconds. This helps developers focus on more important work.

Another important application is in education. The model can solve tough math problems with ease. This makes it great for tutoring tools. It offers step-by-step solutions to help students learn better.

Mistral Large can also help make smart chatbots. It understands and creates human-like text. This allows businesses to have chatbots that answer customer questions in many languages.

For more information, check out the model's page on Hugging Face: [Mistral Large Instruct 2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407).

Model Review

Pros

1. Mistral Large 2407 generates coherent and contextually relevant text effortlessly. 2. It deciphers complex queries, showcasing advanced reasoning and problem-solving skills. 3. The model interacts fluently in multiple languages, enhancing global communication. 4. It crafts code snippets in over 80 programming languages, aiding developers efficiently. 5. With a vast context window, it retains information, making it ideal for lengthy discussions.

Cons

1. Mistral Large 2407 lacks moderation tools, risking inappropriate outputs. 2. Users may encounter accuracy issues, leading to misleading information. 3. High computational demands require significant resources for optimal performance.

Comparison

Feature/Aspect	Llama 3.1 405B	Mistral Large 2	Mistral Large Instruct 2407
Parameters	405 billion	123 billion	123 billion
Context Window	128k tokens	128k tokens	128k tokens
Coding Proficiency	Strong coding performance	Proficient in over 80 coding languages	Proficient in over 80 coding languages
Multilingual Support	Supports multiple languages	Supports dozens of languages	Supports dozens of languages
Reasoning and Problem-Solving	High reasoning capabilities	Enhanced reasoning capabilities	State-of-the-art reasoning capabilities

API

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "mistralai/mistral-large-2407",
    messages: [
      {
        "role": "user",
        "content": "Write a blog about cat."
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="mistralai/mistral-large-2407",
  messages=[
    {
      "role": "user",
      "content": "Write a blog about cat."
    }
  ]
)
print(completion.choices[0].message.content)

FAQ

Q1: What is Mistral Large 2407's main capability?  
A1: Mistral Large 2407 excels in reasoning, coding, and multilingual tasks.

Q2: How can I access Mistral Large 2407 via API?  
A2: Use the provided API key and call the model through a client library.

Q3: What languages does Mistral Large 2407 support?  
A3: It supports English, French, German, Spanish, and many more.

Q4: Can Mistral Large 2407 generate code?  
A4: Yes, it can generate and debug code in over 80 programming languages.

Q5: Does Mistral Large 2407 have moderation features?  
A5: No, it lacks built-in moderation, so outputs may vary in accuracy.