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Grok-1.5 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 24.1% higher average benchmark score. Phi-4-multimodal-instruct supports multimodal inputs. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
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xAI
Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.
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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.
10 months newer
Grok-1.5
xAI
2024-03-28
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Grok-1.5
Average Score:27.4%
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Phi-4-multimodal-instruct
Average Score:51.4%(+24.1%)
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Grok-1.5
0 providers
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Phi-4-multimodal-instruct
1 providers
DeepInfra
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Grok-1.5
Avg Score:27.4%
Providers:0
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Phi-4-multimodal-instruct
Avg Score:51.4%(+24.1%)
Providers:1