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.

OpenAI

o4-mini

OpenAI

o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Cohere

Command R+

Cohere

2024-08-30

OpenAI

o4-mini

OpenAI

2025-04-16

7 months newer

Performance Metrics

Context window and performance specifications

Cohere

Command R+

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

o4-mini

Max Context:-

Performance comparison across key benchmark categories

Cohere

Command R+

math
70.7%
general
+11.3%
75.7%
OpenAI

o4-mini

math
+13.6%
84.3%
general
64.4%
Knowledge Cutoff
Training data recency comparison

o4-mini

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

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
OpenAI

o4-mini

0 providers
Cohere

Command R+

Avg Score:0.0%
Providers:2
OpenAI

o4-mini

Avg Score:0.0%
Providers:0