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-VL-72B-Instruct

Alibaba

Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2-VL-72B-Instruct

Alibaba

2024-08-29

Amazon

Nova Micro

Amazon

2024-11-20

2 months newer

Performance Metrics

Context window and performance specifications

Amazon

Nova Micro

Larger context
Max Context:256.0K
Alibaba

Qwen2-VL-72B-Instruct

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

Amazon

Nova Micro

general
60.0%
math
+10.3%
80.8%
Alibaba

Qwen2-VL-72B-Instruct

general
+22.2%
82.2%
math
70.5%
Knowledge Cutoff
Training data recency comparison

Qwen2-VL-72B-Instruct

2023-06-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Amazon

Nova Micro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Alibaba

Qwen2-VL-72B-Instruct

0 providers
Amazon

Nova Micro

Avg Score:0.0%
Providers:1
Alibaba

Qwen2-VL-72B-Instruct

Avg Score:0.0%
Providers:0