Model Comparison

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

Amazon

Nova Micro

Amazon

Nova Micro is a language model developed by Amazon. It achieves strong performance with an average score of 67.0% across 17 benchmarks. It excels particularly in GSM8k (92.3%), ARC-C (90.2%), Translation Set1→en COMET22 (88.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Amazon's latest advancement in AI technology.

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Amazon

Nova Micro

Amazon

2024-11-20

Alibaba

Qwen2.5 VL 7B Instruct

Alibaba

2025-01-26

2 months newer

Performance Metrics

Context window and performance specifications

Amazon

Nova Micro

Larger context
Max Context:256.0K
Alibaba

Qwen2.5 VL 7B Instruct

Max Context:-
Parameters:8.3B

Performance comparison across key benchmark categories

Amazon

Nova Micro

math
+34.2%
80.8%
general
60.0%
Alibaba

Qwen2.5 VL 7B Instruct

math
46.6%
general
+7.8%
67.7%

Provider Availability & Performance

Available providers and their performance metrics

Amazon

Nova Micro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 VL 7B Instruct

0 providers
Amazon

Nova Micro

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5 VL 7B Instruct

Avg Score:0.0%
Providers:0