Model Comparison

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

Mistral AI

Magistral Small 2506

Mistral AI

Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI'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

Mistral AI

Magistral Small 2506

Mistral AI

2025-06-10

9 months newer

Performance comparison across key benchmark categories

Mistral AI

Magistral Small 2506

general
67.2%
Microsoft

Phi-3.5-vision-instruct

general
+8.7%
75.9%
Knowledge Cutoff
Training data recency comparison

Magistral Small 2506

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Magistral Small 2506

0 providers
Microsoft

Phi-3.5-vision-instruct

0 providers
Mistral AI

Magistral Small 2506

Avg Score:0.0%
Providers:0
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0