Overview

Devstral 2 123B stands as a premier choice for developers demanding high-performance code generation and complex reasoning capabilities. Built on the robust Devstral family architecture, this proprietary model leverages 123 billion parameters to deliver exceptional accuracy across multiple programming languages. Its massive 128,000-token context window allows for seamless analysis of extensive codebases, documentation, and multi-file projects without losing coherence. Whether you are refactoring legacy systems or architecting new solutions, the model maintains strict adherence to logical structures and best practices.

Accessing Devstral 2 123B through LLM Resayil ensures reliable integration into your development workflow with enterprise-grade stability. While operating at a 3.5x credit multiplier relative to the base rate, the investment yields significant returns in reduced debugging time and higher quality output. Available from the starter tier, this model is optimized for intensive tasks where precision outweighs raw speed. Developers should select this endpoint for critical production environments where understanding nuanced technical requirements and generating secure, efficient code is paramount.

Specifications

Display Name Devstral 2 123B

Family Devstral

Category Code

Parameters 123B

Context Window 128,000 tokens

Quantization FP16

License PROPRIETARY

Min Tier Starter

Status Available

Pricing

3.5×

credits per token

1K 3,500 Credits

10K 35,000 Credits

100K 350,000 Credits

View Pricing Plans

Code Examples

from openai import OpenAI

client = OpenAI(
    base_url="https://llmapi.resayil.io/v1/",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="devstral-2:123b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

const response = await fetch(
    "https://llmapi.resayil.io/v1/chat/completions",
    {
        method: "POST",
        headers: {
            "Content-Type": "application/json",
            "Authorization": "Bearer YOUR_API_KEY"
        },
        body: JSON.stringify({
            model: "devstral-2:123b",
            messages: [
                { role: "user", content: "Hello!" }
            ]
        })
    }
);

const data = await response.json();
console.log(data.choices[0].message.content);

curl https://llmapi.resayil.io/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "devstral-2:123b",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Use Cases

Analyzing entire repositories for security vulnerabilities

Generating complex software architecture diagrams and plans

Refactoring large legacy codebases efficiently and safely

Writing comprehensive unit tests for existing modules

Debugging intricate multiple file system errors quickly

In-Depth Guide

Full Guide

Complete Guide to Devstral 2 123B — LLM Resayil

Devstral 2 123B