Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 29.0% higher average benchmark score. Grok-4 offers 8.0K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $17.85 cheaper per million tokens. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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
xAI
2025-07-09
Cost per million tokens (USD)
Grok-4
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 22 common benchmarks
Grok-4
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Phi-4-multimodal-instruct
Grok-4
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
DeepInfra