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

Claude 3 Haiku
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%). The model shows particular specialization in reasoning tasks with an average performance of 87.5%. 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.

Qwen2.5 72B Instruct
Alibaba
Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Claude 3 Haiku
Anthropic
2024-03-13

Qwen2.5 72B Instruct
Alibaba
2024-09-19
6 months newer
Pricing Comparison
Cost per million tokens (USD)

Claude 3 Haiku

Qwen2.5 72B Instruct
Performance Metrics
Context window and performance specifications

Claude 3 Haiku

Qwen2.5 72B Instruct
Average performance across 4 common benchmarks

Claude 3 Haiku

Qwen2.5 72B Instruct
Performance comparison across key benchmark categories

Claude 3 Haiku

Qwen2.5 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Claude 3 Haiku
Bedrock
Anthropic

Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks

Claude 3 Haiku

Qwen2.5 72B Instruct