Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
Qwen2 72B Instruct
Alibaba
Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.
Llama 3.1 405B Instruct
Meta
2024-07-23
Qwen2 72B Instruct
Alibaba
2024-07-23
0 days newer
Performance Metrics
Context window and performance specifications
Llama 3.1 405B Instruct
Qwen2 72B Instruct
Average performance across 7 common benchmarks
Llama 3.1 405B Instruct
Qwen2 72B Instruct
Performance comparison across key benchmark categories
Llama 3.1 405B Instruct
Qwen2 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate
Qwen2 72B Instruct
Llama 3.1 405B Instruct
Qwen2 72B Instruct