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What is Qwen3.5?

Qwen3.5 is an advanced open-weight multimodal AI system built to serve as the foundation for native digital agents capable of reasoning across text, images, and video. The primary release, Qwen3.5-397B-A17B, introduces a hybrid architecture that combines Gated DeltaNet linear attention with a sparse mixture-of-experts design, activating just 17 billion parameters per inference pass while maintaining a total parameter count of 397 billion. This selective activation dramatically improves decoding throughput and cost efficiency without sacrificing benchmark-level performance. Qwen3.5 demonstrates strong results across knowledge, multilingual reasoning, coding, STEM tasks, search agents, visual question answering, document understanding, and spatial intelligence benchmarks. The hosted Qwen3.5-Plus variant offers a default one-million-token context window and integrated tool usage such as web search and code interpretation for adaptive problem-solving. Expanded multilingual support now covers 201 languages and dialects, backed by a 250k vocabulary that enhances encoding and decoding efficiency across global use cases. The model is natively multimodal, using early fusion techniques and large-scale visual-text pretraining to outperform prior Qwen-VL systems in scientific reasoning and video analysis. Infrastructure innovations such as heterogeneous parallel training, FP8 precision pipelines, and disaggregated reinforcement learning frameworks enable near-text baseline throughput even with mixed multimodal inputs. Extensive reinforcement learning across diverse and generalized environments improves long-horizon planning, multi-turn interactions, and tool-augmented workflows. Designed for developers, researchers, and enterprises, Qwen3.5 supports scalable deployment through Alibaba Cloud Model Studio while paving the way toward persistent, economically aware, autonomous AI agents.

What is Gemini 4 Carbon?

Gemini 4 Carbon is a reportedly experimental large language model under development at Google DeepMind as part of the company's Gemini 4 artificial intelligence research efforts. The model has been identified in reporting about internal testing of multiple Gemini 4 variants, including Argon, Barium, and Carbon. Carbon has reportedly appeared within Google's internal Jetski coding platform, where employees can evaluate AI models for software development tasks. Internal feedback cited in reporting has suggested promising performance in advanced programming applications, although these observations have not been independently validated through published benchmarks. The model's development is associated with Google's efforts to improve AI reasoning, code generation, and assistance with complex software engineering workflows. Potential applications include debugging, code modification, technical analysis, and automated execution of multistep development tasks. Carbon may also be evaluated for autonomous coding workflows in which AI systems plan changes, interact with development tools, and assist with software maintenance. The publicly released Gemini 4 Argon model provides a reference point for Google's broader work on long-context reasoning, multimodal understanding, and agentic software engineering. However, Carbon's specific architecture, supported input modalities, context window, training methods, and tool integration capabilities have not been publicly documented. Google has not confirmed whether Carbon will launch as a separate model, replace an existing Gemini variant, or remain an internal research system. Commercial availability, API access, pricing, licensing, and official performance benchmarks have not been announced.

Media

Media

No images available

Integrations Supported

OpenClaw
Claw Code
Together AI
ZooClaw

Integrations Supported

OpenClaw
.NET
Agent Search on Gemini Enterprise Agent Platform
Android Studio
Antigravity CLI
Gemini
Gemini 3.8 Live
Gemini Enterprise
Google AI Mode
Google AI Plus
Hermes Agent
OfoxAI
PHP
R
Solidity
TypeScript
Wikis.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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Popular Alternatives

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