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-Coder 32B Instruct
Alibaba
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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-Coder 32B Instruct
Alibaba
2024-09-19
1 month newer
Pricing Comparison
Cost per million tokens (USD)
Llama 3.1 70B Instruct
Qwen2.5-Coder 32B Instruct
Performance Metrics
Context window and performance specifications
Llama 3.1 70B Instruct
Qwen2.5-Coder 32B Instruct
Average performance across 4 common benchmarks
Llama 3.1 70B Instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Llama 3.1 70B Instruct
Qwen2.5-Coder 32B 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-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda
Llama 3.1 70B Instruct
Qwen2.5-Coder 32B Instruct