Codestral 2501

Mistral chatcode Long Free

API ID: mistralai/codestral-2501

Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Codestral 2501

Codestral is Mistral AI's specialized code generation model, designed specifically for software development tasks. With 22 billion parameters trained extensively on code, it delivers exceptional performance on programming benchmarks and real-world development scenarios. Codestral excels at code completion, generation, explanation, and debugging across 80+ programming languages. The model features a 32K context window suitable for analyzing substantial codebases and generating complete implementations. It demonstrates particularly strong performance on Python, JavaScript, TypeScript, and systems languages. Codestral supports fill-in-the-middle completion, making it ideal for IDE integrations and coding assistants. The model is available through Mistral's API and as open weights for self-hosting. For developers seeking a dedicated coding AI that understands programming deeply, Codestral offers specialized capability that general-purpose models can't match. It's particularly valuable for code review automation, documentation generation, and AI-powered development tools.

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Price Ranking
#1 lowest price among 950 Chat models โ€” Top 20% cheapest!

Model Specifications

Context Length
256k
Max Output
โ€”
Release Date
2025-01-14
Capabilities
chat code
Input Modalities
text
Output Modalities
text

Best For

  • Code generation, debugging, code review, refactoring
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
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This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

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๐Ÿš€ Quick Start

Get started with Codestral 2501 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/codestral-2501",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)