Discover Mistral: Codestral 2501 for Coding

Efficiently tackle coding tasks with Codestral 2501's advanced capabilities.

Input: text Output: text Context: 262,144 tokens Release: 2025-01-14

Mistral's Codestral 2501, released on January 14, 2025, is a sophisticated language model designed specifically for coding tasks. With a substantial context length of 262,144 tokens, it excels in handling complex text-to-text transformations. This model is particularly adept at tasks like fill-in-the-middle (FIM), code correction, and test generation, making it a versatile tool for developers. Supporting a range of parameters such as frequency penalty and temperature, Codestral 2501 offers flexibility in generating structured outputs tailored to your needs. Ideal for scenarios requiring low-latency and high-frequency processing, it caters to both input and output text modalities, ensuring smooth integration into various coding environments.

Use Cases

Here are a few ways teams apply Mistral: Codestral 2501 in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance code correction workflows

Generate comprehensive test cases

Streamline fill-in-the-middle tasks

Optimize coding with structured outputs

Key Features

A quick look at the capabilities that make this model useful in real projects.

Specializes in fill-in-the-middle tasks

Handles code correction and test generation

Large context window of 262,144 tokens

Supports flexible parameters like temperature

Text-to-text input and output modalities

Specs

Overview

Vendor
mistralai

Model ID
mistralai/codestral-2501

Release
2025-01-14

Modalities & context

Input
text

Output
text

Context
262,144 tokens

Parameters & defaults

Supported parameters: frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p

Defaults: temperature 0.3, top_p 0.95

Benchmark tests: Mistral: Codestral 2501

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

AI has the potential to significantly transform work, leisure, and creativity in positive ways: In the workplace, AI can automate routine tasks, freeing up human workers to focus on more complex and creative endeavors. It can also enhance decision-making by providing data-driven insights. For instance, AI can help in personalized learning and development, tailoring training programs to individual needs. In leisure, AI can create personalized entertainment experiences, from tailored movie recommendations to AI-generated art and music. It can also facilitate social connections by developing intelligent companions that can engage in meaningful conversations. AI can revolutionize creativity by serving as a collaborator. Artists and writers can use AI to generate ideas, draft content, or even create art. AI can analyze vast amounts of data to identify trends and patterns, inspiring new creative directions. Moreover, AI can make creative processes more accessible, allowing individuals without formal training to explore and develop their creative skills.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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