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Mistral: Devstral Small 1.1

Mistral: Devstral Small 1.1

Optimized API Access for Scalable Real-Time LLM Integration

Context: 128 000 tokens
Output: 128 000 tokens
Modality:
Text
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A Compact, Scalable LLM for Real-Time Applications

Devstral Small 1.1 is an advanced member of the Mistral model family, created to offer streamlined efficiency in deploying language models for various applications. Developed by a team of leading AI experts, this lightweight, open-source model strikes the perfect balance between performance and accessibility, making it an excellent choice for developers focusing on real-time applications and generative AI systems.

The model stands out in its category as a mid-tier solution, bridging the gap between basic models and high-end flagship options. Its optimization for production use makes it relevant across a spectrum of dynamic scenarios, ensuring that users maintain a competitive edge in their AI operations.
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Key Features of Devstral Small 1.1

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Low Latency Performance

Devstral Small 1.1 is engineered to deliver low latency responses, crucial for real-time applications. This feature ensures that applications built upon it remain responsive and efficient, a key requirement for services that depend on rapid data processing and interaction.

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Enhanced Context Size

The model supports an expanded context window that allows it to handle large amounts of data more effectively. With this feature, developers can maintain continuity and coherence in applications requiring elaborate interactions, such as complex chatbots and detailed document summaries.

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Robust Alignment and Safety

Safety and alignment remain paramount concerns for deploying any AI model. Devstral Small 1.1 is designed with an advanced alignment protocol that ensures reliable and safe outputs, meeting ethical standards and offering peace of mind for developers and users alike.

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Multi-Language Support

This model extends its capabilities beyond English by supporting multiple languages, which is essential for global deployment and scaling efforts. This characteristic makes it a versatile solution suitable for use in diverse linguistic environments.

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Real-Time Deployment Flexibility

With a focus on deployment flexibility, Devstral Small 1.1 seamlessly integrates with existing infrastructures, ensuring that developers can easily adapt it to various environments and use cases. The model is designed for scalability, making it a great fit for rapidly evolving applications.
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Use Cases for Devstral Small 1.1

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Chatbots for SaaS and Customer Support

Leverage Devstral Small 1.1 to create responsive and intelligent chatbots that enhance customer interactions in SaaS environments. The model's real-time capabilities ensure efficient handling of customer inquiries and support requests.

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Code Generation in IDEs and AI Dev Tools

Ideal for developers who need enhanced code generation abilities, the model can integrate with IDEs and AI development tools to improve coding efficiency and reduce development time.

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Document Summarization in Legal Tech and Research

Devstral Small 1.1 excels in summarizing large volumes of documentation, making it invaluable for legal tech applications and academic research, where quick information distillation is necessary.

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Workflow Automation in Internal Operations and CRM

Automate workflows effectively within CRM systems and internal operations using this model, which optimizes processes and enhances productivity with minimal latency.

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Knowledge Base Search in Enterprise Data and Onboarding

Integrate the model into enterprise knowledge bases to improve search accuracy and onboarding processes, ensuring that users have access to precise and relevant information.

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Why Use Devstral Small 1.1 via AnyAPI.ai‍

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Choosing AnyAPI.ai as your integration platform for Devstral Small 1.1 enhances the value you receive. Enjoy unified API access to a variety of models with one-click onboarding, avoiding vendor lock-in. Our usage-based billing model supports cost-efficient scaling, while robust developer tools and production-grade infrastructure ensure smooth deployment.

Unlike platforms like OpenRouter and AIMLAPI, AnyAPI.ai offers superior provisioning, unified access, and dedicated support, facilitating an unparalleled development experience.

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Start Using Devstral Small 1.1 via API Today

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Unlock the potential of your applications with Devstral Small 1.1 via AnyAPI.ai. This model's strengths in low latency and flexibility make it the perfect choice for developers, startups, and AI teams looking to innovate and excel.

Integrate Devstral Small 1.1 via AnyAPI.ai and start building today.

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

Comparison with other LLMs

Model
Context Window
Multimodal
Latency
Strengths
Model
Mistral: Devstral Small 1.1
Context Window
128k
Multimodal
No
Latency
Medium
Strengths
Agentic code agents, multi-file editing
Get access
Model
Mistral: Codestral 2508
Context Window
256K
Multimodal
No
Latency
Optimized for speed & accuracy
Strengths
Superior code generation with enterprise integration
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Model
Mistral: Mistral Medium 3
Context Window
128k
Multimodal
Yes
Latency
Medium
Strengths
Cost-effective frontier performance, versatile, enterprise-ready
Get access
Model
DeepSeek: DeepSeek R1 0528 (free)
Context Window
64k
Multimodal
No
Latency
High
Strengths
Top-tier open-source reasoning and code performance
Get access

Sample code for 

Mistral: Devstral Small 1.1

Python
JavaScript
Curl
import requests

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

payload = {
    "stream": False,
    "tool_choice": "auto",
    "logprobs": False,
    "model": "devstral-small",
    "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-small", "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-small","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-small","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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Copy
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-small",
  "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-small", "messages": [ { "role": "user", "content": "Hello" } ] }'
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Code is copied
View docs

FAQs

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

What is Devstral Small 1.1 used for?

Devstral Small 1.1 is utilized to create efficient AI-driven applications such as chatbots, document summarization tools, and automated workflows, among other uses.

How is it different from other models?

Compared to other models, Devstral Small 1.1 offers lower latency and greater context size, making it apt for real-time applications.

Can I access Devstral Small 1.1 without an account?

Yes, through AnyAPI.ai, you can access Devstral Small 1.1 without needing a specific account from the model's creator.

Is Devstral Small 1.1 good for coding?

Absolutely, it is well-suited for integration with IDEs and other development tools, enhancing coding productivity.

Does Devstral Small 1.1 support multiple languages?

Yes, it supports several languages, allowing deployment in multilingual settings.

Still have questions?

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