Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 14.3% higher average benchmark score. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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. Released in 2025, it represents xAI's latest advancement in AI technology.
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). 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 Microsoft's latest advancement in AI technology.
5 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Grok-3
xAI
2025-02-17
Context window and performance specifications
Average performance across 13 common benchmarks
Grok-3
Phi-3.5-vision-instruct
Grok-3
2024-11-17
Available providers and their performance metrics
Grok-3
xAI
Phi-3.5-vision-instruct
Grok-3
Phi-3.5-vision-instruct
Grok-3
Phi-3.5-vision-instruct