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Grok-1.5 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 6.2% 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 was developed by xAI as an advanced language model, designed to provide helpful and accurate information with a focus on reasoning and factual knowledge. Built to serve as a conversational AI with strong analytical capabilities, it represents xAI's early generation of foundation models.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
10 months newer
Grok-1.5
xAI
2024-03-28
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Grok-1.5
Average Score:64.0%
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Phi-4-multimodal-instruct
Average Score:70.2%(+6.2%)
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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:64.0%
Providers:0
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Phi-4-multimodal-instruct
Avg Score:70.2%(+6.2%)
Providers:1