Aya 23 35BvsCommand R+
Cohere vs Cohere — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Aya 23 35B | Command R+ |
|---|---|---|
| Provider | ||
| Arena Rank | — | #17 |
| Context Window | 8K | 128K |
| Input Pricing | Free (open)/1M tokens | $2.50/1M tokens |
| Output Pricing | Free (open)/1M tokens | $10.00/1M tokens |
| Parameters | 35B | 104B |
| Open Source | Yes | Yes |
| Best For | Multilingual tasks, low-resource languages | RAG, enterprise search, multilingual |
| Release Date | May 23, 2024 | Apr 4, 2024 |
Aya 23 35B
Aya 23 35B, developed by Cohere through the Cohere For AI research initiative, is an open-source multilingual model with 35 billion parameters and an 8K token context window supporting 23 languages. The model was developed with contributions from researchers worldwide, focusing on extending quality AI capabilities to lower-resource languages that mainstream models underserve. Aya 23 35B performs well on multilingual benchmarks, particularly for languages in Africa, South Asia, and Southeast Asia where few commercial alternatives exist. Free and open-source, it can be fine-tuned and deployed for language-specific applications without cost. The model represents Cohere's commitment to democratizing AI access globally, providing a foundation for researchers and developers working in languages outside the English-Chinese-European focus of most commercial models.
View Cohere profile →Command R+
Command R+, developed by Cohere, is an enterprise-grade model with 104 billion parameters and a 128K token context window, purpose-built for retrieval-augmented generation and tool-use workflows. The model excels at grounded generation with faithful document citation, multi-step tool use, and enterprise search applications. Its advanced RAG capabilities produce responses that accurately synthesize information from provided sources with proper attribution. Command R+ supports multilingual enterprise workflows and structured data extraction. Priced at $2.50 per million input tokens and $10.00 per million output tokens. As an open-source model, it can be deployed on enterprise infrastructure for data-sensitive applications. Command R+ ranks #17 on the Chatbot Arena leaderboard, reflecting strong enterprise-focused capability. It is the preferred choice for organizations building AI-powered knowledge management and document analysis systems.
View Cohere profile →Key Differences: Aya 23 35B vs Command R+
Command R+ supports a larger context window (128K), allowing it to process longer documents in a single request.
Aya 23 35B has 35B parameters vs Command R+'s 104B, which affects inference speed and capability.
When to use Aya 23 35B
- +Your use case involves multilingual tasks, low-resource languages
When to use Command R+
- +You need to process long documents (128K context)
- +Your use case involves rag, enterprise search, multilingual
The Verdict
Command R+ wins our head-to-head comparison with 5 out of 5 category wins. It's the stronger choice for rag, enterprise search, multilingual, though Aya 23 35B holds an edge in multilingual tasks, low-resource languages.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages