Model Comparison

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

Anthropic

Claude Opus 4.1

Anthropic

Claude Opus 4.1 is a multimodal language model developed by Anthropic. The model shows competitive results across 8 benchmarks. It excels particularly in MMMLU (98.4%), AIME 2025 (80.2%), MMMU (validation) (64.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.

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.

Cohere

Command R+

Cohere

2024-08-30

Anthropic

Claude Opus 4.1

Anthropic

2025-08-05

11 months newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4.1

Max Context:-
Cohere

Command R+

Larger context
Max Context:256.0K
Parameters:104.0B

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4.1

general
44.6%
Cohere

Command R+

general
+31.1%
75.7%

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Opus 4.1

0 providers
Cohere

Command R+

2 providers

Cohere

Throughput: 59 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Anthropic

Claude Opus 4.1

Avg Score:0.0%
Providers:0
Cohere

Command R+

Avg Score:0.0%
Providers:2