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Grok-4 Heavy vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 43.2% higher average benchmark score. Grok-4 Heavy supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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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.
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Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
10 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Grok-4 Heavy
xAI
2025-07-09
Average performance across 36 common benchmarks
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Grok-4 Heavy
Average Score:13.3%
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Phi-3.5-MoE-instruct
Average Score:56.5%(+43.2%)
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Knowledge Cutoff
Training data recency comparison
Grok-4 Heavy
2024-12-31
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-4 Heavy
0 providers
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Phi-3.5-MoE-instruct
0 providers
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Grok-4 Heavy
Avg Score:13.3%
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:56.5%(+43.2%)
Providers:0