Devstral 2 2512

Mistral chatreasoningtool_use Long

API ID: mistralai/devstral-2512

Input Price
$0.05
/1M tokens
Output Price
$0.22
/1M tokens

About Devstral 2 2512

Devstral is Mistral AI's specialized model for software development, optimized for coding tasks and developer workflows. The model excels at code generation, completion, explanation, and debugging across multiple programming languages. Devstral features architecture optimized for development tool integration and IDE use. It demonstrates strong performance on coding benchmarks and understands software development context deeply. The model is particularly valuable for AI-powered development tools, code review automation, and programming assistants. For developers seeking specialized coding AI from Mistral, Devstral offers focused capability for software development tasks.

💰
Price Ranking
#329 lowest price among 599 Chat models

Model Specifications

Context Length
262k
Max Output
66k
Release Date
2025-12-09
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.09
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$2.73
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$3.77
/month
500 analyses/day, ~2k tokens each

Mistral Model Lineup

Compare all models from Mistral to find the best fit

Model Input Output Context Capabilities
Devstral 2 2512 Current Free Free 262k chat reasoning tool_use
Mixtral 8x22B (base) Free Free 66k chat
Mistral Medium Free Free 32k chat
Mistral Small Free Free 32k chat
Codestral 2501 Free Free 256k chat code
Codestral Mamba Free Free 256k chat code

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🚀 Quick Start

Get started with Devstral 2 2512 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistralai/devstral-2512",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)