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

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

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.

Pixtral Large
Mistral AI
2024-11-18

Phi 4 Mini
Microsoft
2025-02-01
2 months newer
Performance Metrics
Context window and performance specifications

Phi 4 Mini

Pixtral Large
Performance comparison across key benchmark categories

Phi 4 Mini

Pixtral Large
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini

Pixtral Large
Mistral AI

Phi 4 Mini

Pixtral Large