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.

Mistral AI

Pixtral Large

Mistral AI

Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. 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. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

2 months newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B
Mistral AI

Pixtral Large

Larger context
Max Context:256.0K
Parameters:124.0B

Average performance across 4 common benchmarks

Microsoft

Phi-3.5-vision-instruct

Average Score:61.7%
Mistral AI

Pixtral Large

+17.1%
Average Score:78.8%

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-vision-instruct

general
75.9%
vision
57.5%
math
43.9%
Mistral AI

Pixtral Large

general
+15.0%
91.0%
vision
+21.9%
79.4%
math
+25.5%
69.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-vision-instruct

0 providers
Mistral AI

Pixtral Large

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Microsoft

Phi-3.5-vision-instruct

Avg Score:61.7%
Providers:0
Mistral AI

Pixtral Large

+17.1%
Avg Score:78.8%
Providers:1