Comprehensive side-by-side LLM comparison
Pixtral-12B leads with 39.9% higher average benchmark score. Pixtral-12B supports multimodal inputs. Overall, Pixtral-12B is the stronger choice for coding tasks.
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). It supports a 136K 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 2024, it represents Mistral AI's latest advancement in AI technology.
7 months newer
Pixtral-12B
Mistral AI
2024-09-17
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Context window and performance specifications
Average performance across 15 common benchmarks
Phi 4 Mini Reasoning
Pixtral-12B
Phi 4 Mini Reasoning
2025-02-01
Available providers and their performance metrics
Phi 4 Mini Reasoning
Pixtral-12B
Mistral AI
Phi 4 Mini Reasoning
Pixtral-12B
Phi 4 Mini Reasoning
Pixtral-12B