Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Command R+
Cohere
Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). The model shows particular specialization in reasoning tasks with an average performance of 81.7%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.

Phi-4-multimodal-instruct
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). The model shows particular specialization in general tasks with an average performance of 75.8%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Command R+
Cohere
2024-08-30

Phi-4-multimodal-instruct
Microsoft
2025-02-01
5 months newer
Pricing Comparison
Cost per million tokens (USD)

Command R+

Phi-4-multimodal-instruct
Performance Metrics
Context window and performance specifications

Command R+

Phi-4-multimodal-instruct
Performance comparison across key benchmark categories

Command R+

Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Command R+
Cohere
Bedrock

Phi-4-multimodal-instruct
DeepInfra

Command R+

Phi-4-multimodal-instruct