+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Grok-4 Heavy vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 37.3% higher average benchmark score. Grok-4 Heavy supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-mini-instruct
Microsoft
2024-08-23
Grok-4 Heavy
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 36 common benchmarks
+
+
+
+
Grok-4 Heavy
Average Score:13.3%
+
+
+
+
Phi-3.5-mini-instruct
Average Score:50.6%(+37.3%)
+
+
+
+
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
+
+
+
+
Grok-4 Heavy
0 providers
+
+
+
+
Phi-3.5-mini-instruct
1 providers
Azure
+
+
+
+
Grok-4 Heavy
Avg Score:13.3%
Providers:0
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:50.6%(+37.3%)
Providers:1