Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

xAI

Grok-2 mini

xAI

Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

Microsoft

Phi 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

xAI

Grok-2 mini

xAI

2024-08-13

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

8 months newer

Average performance across 2 common benchmarks

xAI

Grok-2 mini

Average Score:61.5%
Microsoft

Phi 4 Reasoning

+8.5%
Average Score:70.0%

Performance comparison across key benchmark categories

xAI

Grok-2 mini

code
+9.0%
85.7%
math
70.5%
general
69.7%
Microsoft

Phi 4 Reasoning

code
76.7%
math
+6.0%
76.6%
general
+4.5%
74.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Reasoning

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

xAI

Grok-2 mini

0 providers
Microsoft

Phi 4 Reasoning

0 providers
xAI

Grok-2 mini

Avg Score:61.5%
Providers:0
Microsoft

Phi 4 Reasoning

+8.5%
Avg Score:70.0%
Providers:0