Comprehensive side-by-side LLM comparison
Claude 3 Haiku leads with 22.2% higher average benchmark score. Claude 3 Haiku offers 144.0K more tokens in context window than Command R+. Both models have similar pricing. Claude 3 Haiku supports multimodal inputs. Overall, Claude 3 Haiku is the stronger choice for coding tasks.
Anthropic
Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.
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%). 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.
5 months newer
Claude 3 Haiku
Anthropic
2024-03-13
Command R+
Cohere
2024-08-30
Cost per million tokens (USD)
Claude 3 Haiku
Command R+
Context window and performance specifications
Average performance across 12 common benchmarks
Claude 3 Haiku
Command R+
Available providers and their performance metrics
Claude 3 Haiku
Anthropic
Bedrock
Claude 3 Haiku
Command R+
Claude 3 Haiku
Command R+
Command R+
Bedrock
Cohere