Introducing Agentica DeepCoder (14B Preview)

Meet Agentica DeepCoder (14B Preview) — a new coding model available on Grindery.ai. Built for reasoning, debugging, and writing efficient code, it offers strong performance at lower cost, with open-source transparency.
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Tim Delhaes
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Leonardo Iker
Today we’re launching a new specialized model to Grindery.ai:
Agentica DeepCoder (14B Preview)
This model is built for code reasoning, generation, and analysis — optimized to deliver strong performance in coding tasks with efficient resource usage.
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🧠 Why DeepCoder?

DeepCoder is the result of the collaboration between the Agentica Project and Together AI, bridging reinforcement learning techniques with coding model development.
Key strengths:
  • ✍️ Codex-level competence with a 14B parameter model.
  • Efficient and optimized for lower compute footprint.
  • 🧮 Strong code reasoning and understanding — not just “generate code,” but explain, debug, and optimize.
  • 🧰 Open-source model and training logs, allowing community participation. (Together AI)
DeepCoder can hold its ground vs. o3-mini performance in many coding benchmarks, while being more accessible.
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📊 Model Stats

  • 🧠 Smartness: 🧠🧠🧠🧠
  • 💰 Cost: 💰💰
  • ⚡ Speed: ⚡⚡⚡
  • 📚 Context: Up to 64K context (scaling ability)

🔧 How It Works

DeepCoder is fine-tuned from DeepSeek-R1 Distilled Qwen-14B, with reinforcement learning (RL) and system optimizations (like overlong filtering and iterative context lengthening) to push it towards o3-mini-level code performance.
It supports:
  • Generating, completing, and debugging code across languages.
  • Explaining logic and reasoning behind solutions.
  • Optimizing and refactoring code.
  • Responding in structured formats (functions, modules, tests).

🎯 Best Use Cases

  • Writing full functions, modules, or snippets
  • Debugging existing code
  • Refactoring & optimization
  • Explaining algorithmic logic
  • Generating tests & validation suites

🚀 Example Prompts

  1. “Write a Python function that solves the Knapsack problem with dynamic programming.”
  1. “Refactor this JavaScript code to be more memory efficient.”
  1. “Debug this C++ snippet — segmentation fault at line 45.”
  1. “Generate unit tests in Jest for my login authentication function.”
  1. “Explain how this algorithm (bubble sort) works step by step.”

🎯 When to Use It

👉 Use Agentica DeepCoder when your task is coding, reasoning about algorithms, debugging, or structural code work. Don’t expect it to compete in long creative writing or roleplay — its zone is software and logic.

💡 This is the next step in expanding our specialized model suite. With DeepCoder, Grindery.ai now offers top-tier coding intelligence alongside creative, scientific, and workflow models.
👉 Try Agentica DeepCoder (14B Preview) now at Grindery.ai
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