DeepCoder

DeepCoder

Agentica Project
Java

Java

Oracle
+

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About

DeepCoder is a fully open source code-reasoning and generation model released by Agentica Project in collaboration with Together AI. It is fine-tuned from DeepSeek-R1-Distilled-Qwen-14B using distributed reinforcement learning, achieving a 60.6% accuracy on LiveCodeBench (representing an 8% improvement over the base), a performance level that matches that of proprietary models such as o3-mini (2025-01-031 Low) and o1 while using only 14 billion parameters. It was trained over 2.5 weeks on 32 H100 GPUs with a curated dataset of roughly 24,000 coding problems drawn from verified sources (including TACO-Verified, PrimeIntellect SYNTHETIC-1, and LiveCodeBench submissions), each problem requiring a verifiable solution and at least five unit tests to ensure reliability for RL training. To handle long-range context, DeepCoder employs techniques such as iterative context lengthening and overlong filtering.

About

DeepSeek-Coder-V2 is an open source code language model designed to excel in programming and mathematical reasoning tasks. It features a Mixture-of-Experts (MoE) architecture with 236 billion total parameters and 21 billion activated parameters per token, enabling efficient processing and high performance. The model was trained on an extensive dataset of 6 trillion tokens, enhancing its capabilities in code generation and mathematical problem-solving. DeepSeek-Coder-V2 supports over 300 programming languages and has demonstrated superior performance on benchmarks such surpassing other models. It is available in multiple variants, including DeepSeek-Coder-V2-Instruct, optimized for instruction-based tasks; DeepSeek-Coder-V2-Base, suitable for general text generation; and lightweight versions like DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, designed for environments with limited computational resources.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, researchers, and enthusiasts wanting a tool to generate, debug, or reason about code without relying on proprietary models

Audience

Developers seeking a high-performance, open-source model for advanced code generation and mathematical reasoning tasks

Audience

Developers looking for a Programming Language solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Agentica Project
Founded: 2025
United States
agentica-project.com

Company Information

DeepSeek
Founded: 2023
China
www.deepseek.com

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Alternatives

DeepSWE

DeepSWE

Agentica Project

Alternatives

DeepCoder

DeepCoder

Agentica Project

Alternatives

Devstral 2

Devstral 2

Mistral AI
DeepSWE

DeepSWE

Agentica Project
Devstral Small 2

Devstral Small 2

Mistral AI
DeepSeekMath

DeepSeekMath

DeepSeek
DeepScaleR

DeepScaleR

Agentica Project
DeepSeek Coder

DeepSeek Coder

DeepSeek
StarCoder

StarCoder

BigCode

Categories

Categories

Categories

Integrations

Apache TomEE
BlinqIO
Buffer Editor
Claude Opus 4.5
Claude Sonnet 3.7
DeepStream
Flexprice
GPT-5.1-Codex-Max
Gemini Pro
GitAuto
Grok 4.1
Jazzer
JetBrains Junie
Lightly
Replit
Serenity BDD
Subject7
TextMate
Yandex Cloud Functions
iMacros

Integrations

Apache TomEE
BlinqIO
Buffer Editor
Claude Opus 4.5
Claude Sonnet 3.7
DeepStream
Flexprice
GPT-5.1-Codex-Max
Gemini Pro
GitAuto
Grok 4.1
Jazzer
JetBrains Junie
Lightly
Replit
Serenity BDD
Subject7
TextMate
Yandex Cloud Functions
iMacros

Integrations

Apache TomEE
BlinqIO
Buffer Editor
Claude Opus 4.5
Claude Sonnet 3.7
DeepStream
Flexprice
GPT-5.1-Codex-Max
Gemini Pro
GitAuto
Grok 4.1
Jazzer
JetBrains Junie
Lightly
Replit
Serenity BDD
Subject7
TextMate
Yandex Cloud Functions
iMacros
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