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

Nova Pro
Amazon
Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon'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.

Qwen2.5-Coder 32B Instruct
Alibaba
2024-09-19

Nova Pro
Amazon
2024-11-20
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Nova Pro

Qwen2.5-Coder 32B Instruct
Performance Metrics
Context window and performance specifications

Nova Pro

Qwen2.5-Coder 32B Instruct
Average performance across 5 common benchmarks

Nova Pro

Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories

Nova Pro

Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Nova Pro
Bedrock

Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda

Nova Pro

Qwen2.5-Coder 32B Instruct