Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 24.4% higher average benchmark score. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
xAI
Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.1% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI'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.
5 months newer
Grok-2 mini
xAI
2024-08-13
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Context window and performance specifications
Average performance across 20 common benchmarks
Grok-2 mini
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
Grok-2 mini
Phi-4-multimodal-instruct
DeepInfra
Grok-2 mini
Phi-4-multimodal-instruct
Grok-2 mini
Phi-4-multimodal-instruct