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Description

Gemini CLI is an open-source command line interface that brings the full power of Gemini’s AI models into developers’ terminals, offering a seamless and direct way to interact with AI. Designed for efficiency and flexibility, it enables coding assistance, content generation, problem solving, and task management all through natural language commands. Developers using Gemini CLI get access to Gemini 3 Pro with a generous free tier of 60 requests per minute and 1,000 daily requests, supporting both individual users and professional teams with scalable paid plans. The platform incorporates tools like Google Search integration for dynamic context, Model Context Protocol (MCP) support, and prompt customization to tailor AI behavior. It is fully open source under Apache 2.0, encouraging community input and transparency around security. Gemini CLI can be embedded into existing workflows and automated via non-interactive script invocation. This combination of features elevates the command line from a basic tool to an AI-empowered workspace. Gemini CLI aims to make advanced AI capabilities accessible, customizable, and powerful for developers everywhere.

Description

Qwen3-Coder is an advanced code model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version (with 35B active) that inherently accommodates 256K-token contexts, which can be extended to 1M, and demonstrates cutting-edge performance in Agentic Coding, Browser-Use, and Tool-Use activities, rivaling Claude Sonnet 4. With a pre-training phase utilizing 7.5 trillion tokens (70% of which are code) and synthetic data refined through Qwen2.5-Coder, it enhances both coding skills and general capabilities, while its post-training phase leverages extensive execution-driven reinforcement learning across 20,000 parallel environments to excel in multi-turn software engineering challenges like SWE-Bench Verified without the need for test-time scaling. Additionally, the open-source Qwen Code CLI, derived from Gemini Code, allows for the deployment of Qwen3-Coder in agentic workflows through tailored prompts and function calling protocols, facilitating smooth integration with platforms such as Node.js and OpenAI SDKs. This combination of robust features and flexible accessibility positions Qwen3-Coder as an essential tool for developers seeking to optimize their coding tasks and workflows.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

OpenSpec Yes 
SuperBased Yes 
AionUi Yes 
AppControl Yes 
Claude Opus 4.1 No 
Claude Opus 5 No 
Constellation Yes 
Cosyra Yes 
DeployStack Yes 
Gemini 3.1 Flash-Lite Yes 
Gemini Enterprise Yes 
Jules Tools Yes 
Linkly AI Yes 
Multica Yes 
OpenViking Yes 
Qwen3.8-Flash-Next No 
Qwen3.8-Omni-Flash No 
TypeUI Yes 
XHawk Yes 

Integrations

OpenSpec Yes 
SuperBased Yes 
AionUi No 
AppControl No 
Claude Opus 4.1 Yes 
Claude Opus 5 Yes 
Constellation No 
Cosyra No 
DeployStack No 
Gemini 3.1 Flash-Lite No 
Gemini Enterprise No 
Jules Tools No 
Linkly AI No 
Multica No 
OpenViking No 
Qwen3.8-Flash-Next Yes 
Qwen3.8-Omni-Flash Yes 
TypeUI No 
XHawk No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

geminicli.com

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

github.com/QwenLM/qwen-code

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