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

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). 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

Microsoft

2025-02-01

1 year newer

Performance Metrics

Context window and performance specifications

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Phi 4 Mini

Max Context:-

Parameters:3.8B

Average performance across 4 common benchmarks

GPT-3.5 Turbo

Average Score:50.0%

Phi 4 Mini

+5.1%

Average Score:55.1%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

math

33.1%

general

56.9%

Phi 4 Mini

math

+39.0%

72.2%

general

+3.9%

60.8%

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

2024-06-01

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

0 providers

GPT-3.5 Turbo

Avg Score:50.0%

Providers:2

Phi 4 Mini

+5.1%

Avg Score:55.1%

Providers:0