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Grok-4 vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 43.0% higher average benchmark score. Grok-4 supports multimodal inputs. Grok-4 is available on 2 providers. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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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.
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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
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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Grok-4
Average Score:11.9%
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Phi-3.5-MoE-instruct
Average Score:54.9%(+43.0%)
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Knowledge Cutoff
Training data recency comparison
Grok-4
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
2 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Grok-4
Avg Score:11.9%
Providers:2
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Phi-3.5-MoE-instruct
Avg Score:54.9%(+43.0%)
Providers:0