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.

Microsoft

Phi-3.5-vision-instruct

Microsoft

Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

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
Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B

Performance comparison across key benchmark categories

Amazon

Nova Micro

math
+36.9%
80.8%
general
60.0%
Microsoft

Phi-3.5-vision-instruct

math
43.9%
general
+15.9%
75.9%

Provider Availability & Performance

Available providers and their performance metrics

Amazon

Nova Micro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Microsoft

Phi-3.5-vision-instruct

0 providers
Amazon

Nova Micro

Avg Score:0.0%
Providers:1
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0