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 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct

Alibaba

2024-07-23

Nova Pro

Amazon

2024-11-20

4 months newer

Performance Metrics

Context window and performance specifications

Nova Pro

Larger context

Max Context:600.0K

Qwen2 7B Instruct

Max Context:-

Parameters:7.6B

Average performance across 5 common benchmarks

Nova Pro

+17.1%

Average Score:78.6%

Qwen2 7B Instruct

Average Score:61.5%

Performance comparison across key benchmark categories

Nova Pro

code

+26.3%

90.5%

math

+19.8%

85.7%

general

+18.0%

67.4%

Qwen2 7B Instruct

code

64.2%

math

66.0%

general

49.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Nova Pro

1 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Qwen2 7B Instruct

0 providers

Nova Pro

+17.1%

Avg Score:78.6%

Providers:1

Qwen2 7B Instruct

Avg Score:61.5%

Providers:0