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 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 70B 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 70B Instruct
Qwen2 72B Instruct
Average performance across 5 common benchmarks
Llama 3.1 70B Instruct
Qwen2 72B Instruct
Performance comparison across key benchmark categories
Llama 3.1 70B Instruct
Qwen2 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 72B Instruct
Llama 3.1 70B Instruct
Qwen2 72B Instruct