Model Comparison

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

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

Phi 4 Mini Reasoning

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.

GPT-3.5 Turbo

OpenAI

2023-03-21

Phi 4 Mini Reasoning

Microsoft

2025-04-30

2 years newer

Performance Metrics

Context window and performance specifications

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Phi 4 Mini Reasoning

Max Context:-

Parameters:3.8B

Average performance across 1 common benchmarks

GPT-3.5 Turbo

Average Score:30.8%

Phi 4 Mini Reasoning

+21.2%

Average Score:52.0%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

math

33.1%

general

+2.2%

56.9%

Phi 4 Mini Reasoning

math

+61.5%

94.6%

general

54.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

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

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Phi 4 Mini Reasoning

0 providers

GPT-3.5 Turbo

Avg Score:30.8%

Providers:2

Phi 4 Mini Reasoning

+21.2%

Avg Score:52.0%

Providers:0