DeepCoder

DeepCoder

Agentica Project
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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

Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning, scaling test‑case generation for diverse coding challenges, and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and environment variables.

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

AI researchers and software engineers wanting a solution offering an agentic coding model with large‑context support and turnkey CLI tools for real‑world, automated code generation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
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

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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

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

Qwen
Founded: 2023
China
qwenlm.github.io/blog/qwen3-coder/

Alternatives

DeepSWE

DeepSWE

Agentica Project

Alternatives

DeepCoder

DeepCoder

Agentica Project
Devstral 2

Devstral 2

Mistral AI
DeepSWE

DeepSWE

Agentica Project
Devstral Small 2

Devstral Small 2

Mistral AI
Devstral 2

Devstral 2

Mistral AI
DeepScaleR

DeepScaleR

Agentica Project
Qwen2.5-Max

Qwen2.5-Max

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Brokk
Gemini
Gemini Enterprise
Hugging Face
Nebius Token Factory
Node.js
OpenAI
OpenCode
Qwen2.5
SiliconFlow
Tinfoil
Together AI

Integrations

Alibaba Cloud
Brokk
Gemini
Gemini Enterprise
Hugging Face
Nebius Token Factory
Node.js
OpenAI
OpenCode
Qwen2.5
SiliconFlow
Tinfoil
Together AI
Claim DeepCoder and update features and information
Claim DeepCoder and update features and information
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Claim Qwen3-Coder and update features and information