Logocrafiq.ai

An AI-powered assets creation platform. Generate, edit & ship content faster.

Explore

  • Home
  • Contact
  • Pricing
  • Blog

Features

  • 2D Assets Generator
  • Text to 3D
  • Video Generator
  • Sound Effects
  • All Features

Rankings

  • Image generation
  • Image upscaling
  • Video generation
  • 3D generation
  • Text generation
  • Music generation
  • Speech generation

© 2026 Crafiq. All rights reserved.

Privacy PolicyTermsImpressum
Models/Language/c4ai-aya-expanse-32b
Cohere logoCohere·Language ModelsOpen weights

c4ai-aya-expanse-32b

View rankingsHugging Facecohere.com
Arena AI#248
Parameters32B
ReleasedOct 2024

Aya Expanse 32B is a multilingual large language model developed by Cohere For AI (C4AI). It is part of the Aya initiative, a research project focused on expanding high-performance AI capabilities to a global audience. The model is specifically optimized for 23 languages, including Arabic, Chinese, French, Hindi, and Japanese, aiming to provide non-English language support that rivals the performance of monolingual models.

The model architecture is an auto-regressive transformer with 32 billion parameters, built upon the foundation of Cohere's Command R series. Its training process incorporates several research breakthroughs, such as data arbitrage, which balances learning across different languages, and multilingual preference training. Additionally, model merging techniques were used to combine the strengths of different fine-tuned checkpoints into a single robust model.

Aya Expanse 32B features a context window of 128,000 tokens, making it suitable for processing long documents and complex multilingual dialogues. It was released as an open-weight model under a CC-BY-NC license, intended to support the international research community in developing more inclusive language technology.

Create with Crafiq

Generate images, 3D models, video and audio in one studio.

Explore the studio

How c4ai-aya-expanse-32b ranks

c4ai-aya-expanse-32b is highlighted in the table below. Switch the metric to see how the ordering changes.