+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Grok-3 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Grok-3 leads with 32.1% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, Grok-3 is the stronger choice for coding tasks.
+
+
+
+
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K 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. Released in 2025, it represents xAI's latest advancement in AI technology.
+
+
+
+
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
2 months newer
Grok-3
xAI
2025-02-17
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
+
+
+
+
Grok-3
Average Score:61.2%(+32.1%)
+
+
+
+
Phi 4 Mini Reasoning
Average Score:29.2%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Grok-3
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
+
+
+
+
Phi 4 Mini Reasoning
+
+
+
+
Grok-3
Avg Score:61.2%(+32.1%)
Providers:1
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:29.2%
Providers:0