Model Comparison

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

Gemma 3n E4B

Google

Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

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.

GPT-3.5 Turbo

OpenAI

2023-03-21

Gemma 3n E4B

Google

2025-06-26

2 years newer

Performance Metrics

Context window and performance specifications

Gemma 3n E4B

Max Context:-

Parameters:8.0B

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Average performance across 1 common benchmarks

Gemma 3n E4B

Average Score:60.8%

GPT-3.5 Turbo

+9.4%

Average Score:70.2%

Performance comparison across key benchmark categories

Gemma 3n E4B

general

+2.7%

59.6%

GPT-3.5 Turbo

general

56.9%

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

Gemma 3n E4B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 3n E4B

0 providers

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Gemma 3n E4B

Avg Score:60.8%

Providers:0

GPT-3.5 Turbo

+9.4%

Avg Score:70.2%

Providers:2