StableCode vs Code Llama - Which AI Code Assistant Software Platform Is Better in July 2025?

StableCode

StableCode

Coding assistant & learning for programmers

Code Llama

Code Llama

Enhanced coding with code generation and understanding.

TL;DR - Quick Comparison Summary

Description

StableCode, developed by Stability AI, is a groundbreaking LLM generative AI tool that serves as a coding assistant and learning aid for programmers. By offering three different models,

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Introducing Code Llama, the ultimate coding solution for any software developer. With its tagline "Enhanced coding with code generation and understanding," Code Llama is a cutting-edge

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Pricing Options

  • No free trial
  • Not Available
  • No free trial
  • Not Available

How do StableCode and Code Llama Compare on Features?

Total Features

Features
Features

Unique Features

No features

No features

What Do StableCode and Code Llama Cost?

Pricing Option

      Starting From

      • Not Available
      • Not Available

      Other Details

      Customer Types

      • No customer type information available
      • No customer type information available

      StableCode User Reviews & Rating Comparison

      User Ratings

      No Reviews

      5/5

      Pros

      Pros of StableCode

      • Supports diverse programming languages

      • Trained on 560B tokens

      • Three different models

      • Solves complex programming tasks

      • Single and multiple-line autocomplete

      • Ideal for editing large code

      • Handles 2-4 times more code

      • Assists beginners with coding challenges

      • Promotes more inclusive tech ecosystem

      Pros of Code Llama

      • Generates code

      • Understands code

      • Code completion capability

      • Supports debugging tasks

      • Supports Python

      • C++

      • Java

      • PHP

      • Typescript

      • C#

      Cons

      Cons of StableCode

      • Lacks clear setup instructions

      • Unnamed complex programming tasks

      • No mention of updates

      • Potential language comprehension limitations

      • No evident user support

      • No free trial mentioned

      • Lack of tool integration

      • Limited to certain languages

      • No performance metrics

      • No user community

      Cons of Code Llama

      • Higher latency with 34B model

      • Not suitable for natural language tasks

      • Doesn't generate safe responses on certain occasions

      • Requires user adherence to licensing and acceptable policy

      • May generate risky or malicious code

      • Specialized models required for specific languages

      • Does not perform general natural language tasks

      • Requires a large volume of tokens

      • Lacks adaptability for non-coding tasks

      • Service and latency requirements vary between models

      Media and Screenshots

      Screenshots

      StableCode
      Code Llama

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      Frequently Asked Questions (FAQs)

      Stuck on something? We're here to help with all the questions and answers in one place.

      Neither StableCode nor Code Llama offers a free trial.

      Pricing details for both StableCode and Code Llama are unavailable at this time. Contact the respective providers for more information.

      StableCode offers several advantages, including Supports diverse programming languages, Trained on 560B tokens, Three different models, Solves complex programming tasks, Single and multiple-line autocomplete and many more functionalities.

      The cons of StableCode may include a Lacks clear setup instructions, Unnamed complex programming tasks, No mention of updates, Potential language comprehension limitations. and No user community

      Code Llama offers several advantages, including Generates code, Understands code, Code completion capability, Supports debugging tasks, Supports Python and many more functionalities.

      The cons of Code Llama may include a Higher latency with 34B model, Not suitable for natural language tasks, Doesn't generate safe responses on certain occasions, Requires user adherence to licensing and acceptable policy. and Service and latency requirements vary between models

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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