Model Comparison

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

Cohere

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.

Google

MedGemma 4B IT

Google

MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Cohere

Command R+

Cohere

2024-08-30

Google

MedGemma 4B IT

Google

2025-05-20

8 months newer

Performance Metrics

Context window and performance specifications

Cohere

Command R+

Larger context
Max Context:256.0K
Parameters:104.0B
Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Performance comparison across key benchmark categories

Cohere

Command R+

general
+16.2%
75.7%
Google

MedGemma 4B IT

general
59.5%

Provider Availability & Performance

Available providers and their performance metrics

Cohere

Command R+

2 providers

Cohere

Throughput: 59 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Google

MedGemma 4B IT

0 providers
Cohere

Command R+

Avg Score:0.0%
Providers:2
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0