Qwen2

Qwen2

Alibaba
voyage-4-large

voyage-4-large

Voyage AI
+
+

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About

Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.

About

The Voyage 4 model family from Voyage AI is a new generation of text embedding models designed to produce high-quality semantic vectors with an industry-first shared embedding space that lets different models in the series generate compatible embeddings so developers can mix and match models for document and query embedding to optimize accuracy, latency, and cost trade-offs. It includes voyage-4-large (a flagship model using a mixture-of-experts architecture delivering state-of-the-art retrieval accuracy at about 40% lower serving cost than comparable dense models), voyage-4 (balancing quality and efficiency), voyage-4-lite (high-quality embeddings with fewer parameters and lower compute cost), and the open-weight voyage-4-nano (ideal for local development and prototyping with an Apache 2.0 license). All four models in the series operate in a single shared embedding space, so embeddings generated by different variants are interchangeable, enabling asymmetric retrieval strategies.

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

AI developers interested in a powerful LLM

Audience

AI developers and engineers building retrieval-based AI systems, semantic search, and context-aware agents who need high-accuracy, flexible, and cost-optimized text embedding models

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

No images available

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
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

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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

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen2

Company Information

Voyage AI
Founded: 2023
United States
blog.voyageai.com/2026/01/15/voyage-4/

Alternatives

CodeQwen

CodeQwen

Alibaba

Alternatives

Voyage AI

Voyage AI

MongoDB
Mathstral

Mathstral

Mistral AI
Qwen-7B

Qwen-7B

Alibaba
Codestral Embed

Codestral Embed

Mistral AI
Qwen2.5-Max

Qwen2.5-Max

Alibaba

Categories

Categories

Integrations

Hugging Face
CSS
Clojure
Cohere Embed
F#
Gemini
Go
HTML
Horay.ai
Kotlin
Molmo
OpenAI
PHP
Qwen Chat
R
SQL
Scala
TypeScript
Visual Basic
Voyage AI

Integrations

Hugging Face
CSS
Clojure
Cohere Embed
F#
Gemini
Go
HTML
Horay.ai
Kotlin
Molmo
OpenAI
PHP
Qwen Chat
R
SQL
Scala
TypeScript
Visual Basic
Voyage AI
Claim Qwen2 and update features and information
Claim Qwen2 and update features and information
Claim voyage-4-large and update features and information
Claim voyage-4-large and update features and information