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Mistral: Devstral Medium

Mistral: Devstral Medium

Scalable, Real-Time, and Developer-Friendly Language Model

Context: 128 000 tokens
Output: 128 000 tokens
Modality:
Text
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The Most Scalable Mid-Tier AI Language Model for Real-Time Applications


Devstral Medium is an advanced yet scalable large language model (LLM), developed by Mistral AI, designed to address the growing demands of real-time applications and generative AI systems. Positioned in the mid-tier range of the Mistral family, this model stands out as an efficient solution for those looking to integrate powerful AI capabilities without the hefty resource demands of high-end models. Its balance between performance and scalability makes it ideal for production use, offering developers and companies a reliable tool for a wide array of applications.

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Key Features of Devstral Medium

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Optimal Latency and Context Size

Devstral Medium offers competitive latency, ensuring rapid response times, vital for real-time applications such as chatbots and live customer support systems. With a generous context window, it can handle complex queries and maintain continuity in extended interactions.

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Enhanced Alignment and Safety

Users can trust Mistral: Devstral Medium for safe deployment across varying domains, thanks to its superior alignment protocols. This ensures interactions are appropriate, accurate, and ethically managed.

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Robust Reasoning and Coding Skills

Designed to cater to diverse tasks, this model excels in logical reasoning and programming tasks, making it a valuable asset in code generation and software development scenarios.

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Multilingual Support

With extensive language support, Devstral Medium can be deployed in global settings, enhancing capabilities across multilingual platforms and applications.

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Real-Time Readiness and Developer Experience

The model's architecture emphasizes deployment flexibility, ensuring developers can easily integrate it into existing workflows and infrastructures. Its user-friendly design improves the developer experience, facilitating rapid deployment and scaling.

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Use Cases for Devstral Medium

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Chatbots for SaaS and Customer Support

Devstral Medium enables companies to deploy highly interactive chatbots, capable of understanding and responding to user queries with precision, perfect for SaaS platforms and customer service applications.

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Code Generation for IDEs and AI Dev Tools

Developers can leverage Devstral Medium for enhanced code generation, integrating it into IDEs to provide rapid code suggestions and error corrections, thus boosting development productivity.

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Document Summarization for Legal Tech and Research

The model's ability to succinctly summarize lengthy documents makes it invaluable in legal tech and research settings, where time-efficient processing of information is crucial.

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Workflow Automation for Internal Ops and CRM

Streamline internal operations and customer relationship management with Devstral Medium's automation capabilities, reducing manual processing time and improving data handling efficiency.

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Knowledge Base Search for Enterprise Data and Onboarding

This model enhances the search and retrieval of information from extensive knowledge bases, assisting enterprises with data navigation and employee onboarding processes.

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Why Use Devstral Medium via AnyAPI.ai


By accessing Devstral Medium through AnyAPI.ai, developers benefit from a unified API platform that simplifies the integration of multiple language models. Enjoy seamless onboarding without vendor lock-in, usage-based billing that aligns costs with application usage, and robust developer tools that enhance production-grade infrastructure.

Unlike competitors like OpenRouter and AIMLAPI, AnyAPI.ai offers superior provisioning, analytics, and support, enabling faster, more reliable deployments.

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Start Using Devstral Medium via API Today


Harness the potential of Devstral Medium and elevate your AI-driven applications by integrating it through AnyAPI.ai. Whether you're a startup looking to scale your technology or a developer seeking robust tools, this model offers unparalleled benefits.

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Sign up, get your API key, and launch your next innovative solution in minutes.

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
Mistral: Devstral Medium
Context Window
128k
Multimodal
No
Latency
Medium
Strengths
Agentic code reasoning, SWE-Bench SOAR
Get access
Model
Mistral: Mistral Medium 3
Context Window
128k
Multimodal
Yes
Latency
Medium
Strengths
Cost-effective frontier performance, versatile, enterprise-ready
Get access
Model
Mistral: Devstral Small 2505
Context Window
128k
Multimodal
No
Latency
Medium
Strengths
GitHub automation, dev agents, open LLMs
Get access
Model
OpenAI: GPT-4 Turbo
Context Window
128k
Multimodal
Yes
Latency
Very High
Strengths
Production-scale AI systems
Get access

Sample code for 

Mistral: Devstral Medium

Python
JavaScript
Curl
import requests

url = "https://api.anyapi.ai/v1/chat/completions"

payload = {
    "stream": False,
    "tool_choice": "auto",
    "logprobs": False,
    "model": "devstral-medium",
    "messages": [
        {
            "role": "user",
            "content": "Hello"
        }
    ]
}
headers = {
    "Authorization": "Bearer AnyAPI_API_KEY",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
import requests url = "https://api.anyapi.ai/v1/chat/completions" payload = { "stream": False, "tool_choice": "auto", "logprobs": False, "model": "devstral-medium", "messages": [ { "role": "user", "content": "Hello" } ] } headers = { "Authorization": "Bearer AnyAPI_API_KEY", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json())
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Code is copied
const url = 'https://api.anyapi.ai/v1/chat/completions';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'},
  body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"devstral-medium","messages":[{"role":"user","content":"Hello"}]}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
const url = 'https://api.anyapi.ai/v1/chat/completions'; const options = { method: 'POST', headers: {Authorization: 'Bearer AnyAPI_API_KEY', 'Content-Type': 'application/json'}, body: '{"stream":false,"tool_choice":"auto","logprobs":false,"model":"devstral-medium","messages":[{"role":"user","content":"Hello"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); }
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Code is copied
curl --request POST \
  --url https://api.anyapi.ai/v1/chat/completions \
  --header 'Authorization: Bearer AnyAPI_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "stream": false,
  "tool_choice": "auto",
  "logprobs": false,
  "model": "devstral-medium",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}'
curl --request POST \ --url https://api.anyapi.ai/v1/chat/completions \ --header 'Authorization: Bearer AnyAPI_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "stream": false, "tool_choice": "auto", "logprobs": false, "model": "devstral-medium", "messages": [ { "role": "user", "content": "Hello" } ] }'
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Code is copied
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FAQs

Answers to common questions about integrating and using this AI model via AnyAPI.ai

What is Mistral: Devstral Medium used for?

Mistral: Devstral Medium is used for developing real-time applications like chatbots, enhancing code generation, document summarization, workflow automation, and improving knowledge base searches.

How is it different from GPT-4 Turbo?

While GPT-4 Turbo offers high-end AI capabilities, Mistral: Devstral Medium provides a more scalable and cost-effective solution with comparable performance metrics, particularly excelling in latency and context capacity.

Can I access Mistral: Devstral Medium without a Mistral AI account?

Yes, you can access Mistral: Devstral Medium through AnyAPI.ai without needing a direct Mistral AI account. AnyAPI.ai facilitates seamless access with its unified API platform.

Is Mistral: Devstral Medium good for coding?

Absolutely. Its robust programming capabilities make it ideal for code generation tasks, offering precise and context-aware code suggestions.

Does Mistral: Devstral Medium support multiple languages?

Yes, the model supports over 30 languages, making it suitable for a wide array of multilingual applications. ## Conclusion: Start Using Mistral: Devstral Medium via API Today Harness the potential of Mistral: Devstral Medium and elevate your AI-driven applications by integrating it through AnyAPI.ai. Whether you're a startup looking to scale your technology or a developer seeking robust tools, this model offers unparalleled benefits. Sign up, get your API key, and launch your next innovative solution in minutes.

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