Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 70B Instruct
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta'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.
Llama 3.1 70B Instruct
Meta
2024-07-23
Qwen2.5 72B Instruct
Alibaba
2024-09-19
1 month newer
Pricing Comparison
Cost per million tokens (USD)
Llama 3.1 70B Instruct
Qwen2.5 72B Instruct
Performance Metrics
Context window and performance specifications
Llama 3.1 70B Instruct
Qwen2.5 72B Instruct
Average performance across 4 common benchmarks
Llama 3.1 70B Instruct
Qwen2.5 72B Instruct
Performance comparison across key benchmark categories
Llama 3.1 70B Instruct
Qwen2.5 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Llama 3.1 70B Instruct
Qwen2.5 72B Instruct