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

Phi-3.5-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

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.

Phi-3.5-mini-instruct
Microsoft
2024-08-23

Qwen2-VL-72B-Instruct
Alibaba
2024-08-29
6 days newer
Performance Metrics
Context window and performance specifications

Phi-3.5-mini-instruct

Qwen2-VL-72B-Instruct
Performance comparison across key benchmark categories

Phi-3.5-mini-instruct

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-mini-instruct
Azure

Qwen2-VL-72B-Instruct

Phi-3.5-mini-instruct

Qwen2-VL-72B-Instruct