Model Comparison

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

Microsoft

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.

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

5 months newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B
Alibaba

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-mini-instruct

general
55.4%
math
+4.4%
60.9%
Alibaba

Qwen2.5 VL 72B Instruct

general
+14.2%
69.6%
math
56.5%

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
Microsoft

Phi-3.5-mini-instruct

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0