Model Comparison

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

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-4-multimodal-instruct

Microsoft

Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). The model shows particular specialization in general tasks with an average performance of 75.8%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

Microsoft

Phi-4-multimodal-instruct

Microsoft

2025-02-01

5 months newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B
Microsoft

Phi-4-multimodal-instruct

Larger context
Max Context:256.0K
Parameters:5.6B

Average performance across 8 common benchmarks

Microsoft

Phi-3.5-vision-instruct

Average Score:65.4%
Microsoft

Phi-4-multimodal-instruct

+6.8%
Average Score:72.2%

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-vision-instruct

general
+0.2%
75.9%
vision
57.5%
math
43.9%
Microsoft

Phi-4-multimodal-instruct

general
75.8%
vision
+12.2%
69.7%
math
+18.5%
62.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi-4-multimodal-instruct

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-vision-instruct

0 providers
Microsoft

Phi-4-multimodal-instruct

1 providers

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms
Microsoft

Phi-3.5-vision-instruct

Avg Score:65.4%
Providers:0
Microsoft

Phi-4-multimodal-instruct

+6.8%
Avg Score:72.2%
Providers:1