Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 43.5% higher average benchmark score. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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-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%). 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.
4 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Magistral Small 2506
Mistral AI
2025-06-10
Context window and performance specifications
Average performance across 19 common benchmarks
Magistral Small 2506
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Magistral Small 2506
2025-06-01
Available providers and their performance metrics
Magistral Small 2506
Phi-4-multimodal-instruct
DeepInfra
Magistral Small 2506
Phi-4-multimodal-instruct
Magistral Small 2506
Phi-4-multimodal-instruct