Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 28.7% higher average benchmark score. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
xAI
Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Grok-4 Heavy
xAI
2025-07-09
Context window and performance specifications
Average performance across 21 common benchmarks
Grok-4 Heavy
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Grok-4 Heavy
2024-12-31
Available providers and their performance metrics
Grok-4 Heavy
Phi-4-multimodal-instruct
DeepInfra
Grok-4 Heavy
Phi-4-multimodal-instruct
Grok-4 Heavy
Phi-4-multimodal-instruct