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What is Qwen3-Coder?

Qwen3-Coder is a multifaceted coding model available in different sizes, prominently showcasing the 480B-parameter Mixture-of-Experts variant with 35B active parameters, which adeptly manages 256K-token contexts that can be scaled up to 1 million tokens. It demonstrates remarkable performance comparable to Claude Sonnet 4, having been pre-trained on a staggering 7.5 trillion tokens, with 70% of that data comprising code, and it employs synthetic data fine-tuned through Qwen2.5-Coder to bolster both coding proficiency and overall effectiveness. Additionally, the model utilizes advanced post-training techniques that incorporate substantial, execution-guided reinforcement learning, enabling it to generate a wide array of test cases across 20,000 parallel environments, thus excelling in multi-turn software engineering tasks like SWE-Bench Verified without requiring test-time scaling. Beyond the model itself, the open-source Qwen Code CLI, inspired by Gemini Code, equips users to implement Qwen3-Coder within dynamic workflows by utilizing customized prompts and function calling protocols while ensuring seamless integration with Node.js, OpenAI SDKs, and environment variables. This robust ecosystem not only aids developers in enhancing their coding projects efficiently but also fosters innovation by providing tools that adapt to various programming needs. Ultimately, Qwen3-Coder stands out as a powerful resource for developers seeking to improve their software development processes.

What is Gemini 2.5 Deep Think?

Gemini 2.5 Deep Think showcases advanced reasoning abilities within the Gemini 2.5 framework, utilizing cutting-edge reinforcement learning techniques and extensive parallel reasoning to tackle complex, multifaceted problems across various fields such as mathematics, programming, scientific research, and strategic planning. By exploring and evaluating multiple reasoning pathways before arriving at a conclusion, it produces responses that are not only intricate and inventive but also highly accurate, supporting extensive interactions and incorporating tools like code execution and web searches. Its performance has consistently achieved exceptional results on rigorous benchmarks, including LiveCodeBench V6 and Humanity’s Last Exam, indicating substantial progress compared to previous versions in challenging domains. Additionally, internal evaluations have indicated improvements in both content safety and maintaining an objective tone; however, there has been a noticeable rise in the model's tendency to deny innocuous requests. In response to this, Google is actively pursuing frontier safety assessments and enacting strategies to reduce associated risks as the model advances. This proactive approach to safety highlights the critical need for responsible development in the realm of artificial intelligence. As the technology evolves, ongoing refinements will likely enhance its capabilities and ensure that it remains aligned with ethical standards and user expectations.

Media

Media

Integrations Supported

Gemini
Gemini Enterprise
Alibaba Cloud
Brokk
CodeMender
Gemini 2.5 Flash
Gemini 2.5 Pro
Gemini 3 Deep Think
Google AI Ultra
Nebius Token Factory
NexaSDK
Node.js
Okara
OpenAI
OpenClaw
OpenCode
Shiori
SiliconFlow
Tinfoil
Together AI

Integrations Supported

Gemini
Gemini Enterprise
Alibaba Cloud
Brokk
CodeMender
Gemini 2.5 Flash
Gemini 2.5 Pro
Gemini 3 Deep Think
Google AI Ultra
Nebius Token Factory
NexaSDK
Node.js
Okara
OpenAI
OpenClaw
OpenCode
Shiori
SiliconFlow
Tinfoil
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Qwen

Date Founded

2023

Company Location

China

Company Website

qwenlm.github.io/blog/qwen3-coder/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

blog.google/products/gemini/gemini-2-5-deep-think/

Categories and Features

Categories and Features

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