Qwen3.5-Plus

Qwen3.5-Plus

Alibaba
+
+

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About

Nomic Embed is a suite of open source, high-performance embedding models designed for various applications, including multilingual text, multimodal content, and code. The ecosystem includes models like Nomic Embed Text v2, which utilizes a Mixture-of-Experts (MoE) architecture to support over 100 languages with efficient inference using 305M active parameters. Nomic Embed Text v1.5 offers variable embedding dimensions (64 to 768) through Matryoshka Representation Learning, enabling developers to balance performance and storage needs. For multimodal applications, Nomic Embed Vision v1.5 aligns with the text models to provide a unified latent space for text and image data, facilitating seamless multimodal search. Additionally, Nomic Embed Code delivers state-of-the-art performance on code embedding tasks across multiple programming languages.

About

Qwen3.5-Plus is a high-performance native vision-language model designed for efficient text generation, deep reasoning, and multimodal understanding. Built on a hybrid architecture that combines linear attention with a sparse mixture-of-experts design, it delivers strong performance while optimizing inference efficiency. The model supports text, image, and video inputs and produces text outputs, making it suitable for complex multimodal workflows. With a massive 1 million token context window and up to 64K output tokens, Qwen3.5-Plus enables long-form reasoning and large-scale document analysis. It includes advanced capabilities such as structured outputs, function calling, web search, and tool integration via the Responses API. The model supports prefix continuation, caching, batch processing, and fine-tuning for flexible deployment. Designed for developers and enterprises, Qwen3.5-Plus provides scalable, high-throughput AI performance with OpenAI-compatible API access.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Machine learning engineers and developers seeking a solution offering embedding models for multilingual text, multimodal content, and code applications

Audience

AI developers, enterprise engineering teams, and organizations building large-scale multimodal applications, long-context reasoning systems, and tool-enabled AI agents

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$0.4 per 1M tokens
Input: $0.4 per 1M tokens
Output: $2.4 per 1M tokens
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Nomic
United States
www.nomic.ai/embed

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

Alternatives

GPT-5.4

GPT-5.4

OpenAI
GPT-5.4 Pro

GPT-5.4 Pro

OpenAI
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

Alibaba AI Coding Plan
Alibaba Cloud Model Studio
Baseten
Go
Java
JavaScript
OpenClaw
PHP
Python
Qwen3.5
Ruby
Shiori
Tabbit Browser

Integrations

Alibaba AI Coding Plan
Alibaba Cloud Model Studio
Baseten
Go
Java
JavaScript
OpenClaw
PHP
Python
Qwen3.5
Ruby
Shiori
Tabbit Browser
Claim Nomic Embed and update features and information
Claim Nomic Embed and update features and information
Claim Qwen3.5-Plus and update features and information
Claim Qwen3.5-Plus and update features and information