Model Comparison

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

Llama 3.2 3B Instruct

Phi 4 Reasoning Plus

Microsoft

Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Phi 4 Reasoning Plus

Max Context:-

Parameters:14.0B

Average performance across 2 common benchmarks

Llama 3.2 3B Instruct

Average Score:55.1%

Phi 4 Reasoning Plus

+21.8%

Average Score:76.9%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

math

61.3%

general

42.5%

code

+0.6%

77.4%

Phi 4 Reasoning Plus

math

+20.6%

81.9%

general

+36.9%

79.3%

code

76.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Phi 4 Reasoning Plus

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Phi 4 Reasoning Plus

0 providers

Llama 3.2 3B Instruct

Avg Score:55.1%

Providers:1

Phi 4 Reasoning Plus

+21.8%

Avg Score:76.9%

Providers:0