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ease
features
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support

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Average Ratings 6 Ratings

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ease
features
design
support

Description

Code Llama is an advanced language model designed to generate code through text prompts, distinguishing itself as a leading tool among publicly accessible models for coding tasks. This innovative model not only streamlines workflows for existing developers but also aids beginners in overcoming challenges associated with learning to code. Its versatility positions Code Llama as both a valuable productivity enhancer and an educational resource, assisting programmers in creating more robust and well-documented software solutions. Additionally, users can generate both code and natural language explanations by providing either type of prompt, making it an adaptable tool for various programming needs. Available for free for both research and commercial applications, Code Llama is built upon Llama 2 architecture and comes in three distinct versions: the foundational Code Llama model, Code Llama - Python which is tailored specifically for Python programming, and Code Llama - Instruct, optimized for comprehending and executing natural language directives effectively.

Description

CodeQwen serves as the coding counterpart to Qwen, which is a series of large language models created by the Qwen team at Alibaba Cloud. Built on a transformer architecture that functions solely as a decoder, this model has undergone extensive pre-training using a vast dataset of code. It showcases robust code generation abilities and demonstrates impressive results across various benchmarking tests. With the capacity to comprehend and generate long contexts of up to 64,000 tokens, CodeQwen accommodates 92 programming languages and excels in tasks such as text-to-SQL queries and debugging. Engaging with CodeQwen is straightforward—you can initiate a conversation with just a few lines of code utilizing transformers. The foundation of this interaction relies on constructing the tokenizer and model using pre-existing methods, employing the generate function to facilitate dialogue guided by the chat template provided by the tokenizer. In alignment with our established practices, we implement the ChatML template tailored for chat models. This model adeptly completes code snippets based on the prompts it receives, delivering responses without the need for any further formatting adjustments, thereby enhancing the user experience. The seamless integration of these elements underscores the efficiency and versatility of CodeQwen in handling diverse coding tasks.

Description

GitHub Copilot represents the next evolution of intelligent software development, combining AI-driven coding, collaboration, and automation in a single ecosystem. It seamlessly integrates with GitHub and leading IDEs, transforming natural language prompts into working code, tests, and documentation. The new Agent Mode allows developers to delegate tasks—Copilot autonomously writes, executes, and validates code using GitHub Actions, delivering ready-to-review pull requests. Developers can interact through Copilot Chat, switch between models like GPT-5, Claude Sonnet 4, and Gemini 2.0 Flash, and refine results with contextual feedback. Next Edit Suggestions and automated code review ensure project-wide consistency, helping teams catch bugs before they reach production. With Copilot Spaces, teams can organize shared context—code, notes, and knowledge—to produce tailored, high-quality results. Available in Free, Pro, and Pro+ plans, Copilot scales from individuals to enterprises with flexible model access and premium capabilities. Ultimately, GitHub Copilot transforms development from manual iteration to AI-augmented collaboration, enabling engineers to focus on innovation instead of boilerplate.

API Access

Has API

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Screenshots View All

Integrations

Claude Opus 4.1
Deep Infra
Flask
FlowLens
GPT-4
GPT-5
GPT-5.1 Instant
GPT‑5-Codex
Gemini 3 Pro
Java
Kite
Koi
Llama 3.3
LlamaIndex
Node.js
OctiAI
Opsera
Ruby
Vivgrid
Warp

Integrations

Claude Opus 4.1
Deep Infra
Flask
FlowLens
GPT-4
GPT-5
GPT-5.1 Instant
GPT‑5-Codex
Gemini 3 Pro
Java
Kite
Koi
Llama 3.3
LlamaIndex
Node.js
OctiAI
Opsera
Ruby
Vivgrid
Warp

Integrations

Claude Opus 4.1
Deep Infra
Flask
FlowLens
GPT-4
GPT-5
GPT-5.1 Instant
GPT‑5-Codex
Gemini 3 Pro
Java
Kite
Koi
Llama 3.3
LlamaIndex
Node.js
OctiAI
Opsera
Ruby
Vivgrid
Warp

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$10 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

ai.meta.com/blog/code-llama-large-language-model-coding/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

github.com/QwenLM/CodeQwen1.5

Vendor Details

Company Name

GitHub

Founded

2008

Country

United States

Website

github.com/features/copilot

Alternatives

CodeGemma Reviews

CodeGemma

Google

Alternatives

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Qwen-7B

Alibaba

Alternatives

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CodeGemma

Google
JetBrains Junie Reviews

JetBrains Junie

JetBrains
Llama 2 Reviews

Llama 2

Meta
Qwen2.5-Max Reviews

Qwen2.5-Max

Alibaba
CodeQwen Reviews

CodeQwen

Alibaba
Qwen2 Reviews

Qwen2

Alibaba
Amp Reviews

Amp

Sourcegraph