Discover Agentica's Deepcoder 14B Preview

Efficient code generation with long-context support.

Input: text Output: text Context: 96,000 tokens Release: 2025-04-13

Agentica's Deepcoder 14B Preview, released on April 13, 2025, is a 14 billion parameter model designed for code generation. Developed by agentica-org, it leverages a substantial context window of 96,000 tokens, making it particularly adept at handling long-context program synthesis. This model is fine-tuned from DeepSeek-R1-Distill-Qwen-14B using advanced reinforcement learning techniques like GRPO+ and iterative context lengthening. It supports text input and output, and its capabilities are demonstrated by its performance on coding benchmarks, including a 60.6% score on LiveCodeBench v5. Users can adjust various parameters such as frequency penalty, max tokens, and temperature to tailor the model's output to their needs.

Use Cases

Here are a few ways teams apply Agentica: Deepcoder 14B Preview (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate complex code with extended context

Optimize code synthesis workflows

Enhance coding benchmark scores

Tailor outputs with customizable parameters

Key Features

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

14 billion parameter model

Optimized for long-context program synthesis

Supports text input and output

Fine-tuned with GRPO+ reinforcement learning

96,000 token context window

Competitive coding benchmark performance

Specs

Overview

Vendor
agentica-org

Model ID
agentica-org/deepcoder-14b-preview:free

Release
2025-04-13

Modalities & context

Input
text

Output
text

Context
96,000 tokens

Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Agentica: Deepcoder 14B Preview (free)

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

The Agentica: Deepcoder 14B Preview is a large language model designed for code generation and programming assistance. With 14 billion parameters, it is capable of understanding and generating code snippets in various programming languages, making it suitable for tasks such as code completion, debugging support, and automated documentation generation. Typical use cases include aiding software developers in writing code more efficiently, providing suggestions for code optimization, and generating boilerplate code for new projects. While the model demonstrates strong performance in many coding scenarios, users should be aware of its limitations. It may struggle with highly specialized or niche programming languages and frameworks, and its output should be reviewed for accuracy and security best practices. Additionally, the model's responses are based on patterns in the training data, which may not always reflect the latest developments in programming languages or libraries. Overall, the Deepcoder 14B Preview serves as a valuable tool for enhancing productivity in software development while requiring careful oversight from users.

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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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