Model Comparison

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

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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 E2B Instructed

Google

2025-06-26

2 years newer

Performance Metrics

Context window and performance specifications

Gemma 3n E2B Instructed

Max Context:-

Parameters:8.0B

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Average performance across 4 common benchmarks

Gemma 3n E2B Instructed

Average Score:51.1%

GPT-3.5 Turbo

+5.1%

Average Score:56.2%

Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

code

33.2%

general

32.8%

math

+7.3%

40.4%

GPT-3.5 Turbo

code

+34.8%

68.0%

general

+24.2%

56.9%

math

33.1%

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 E2B Instructed

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 E2B Instructed

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 E2B Instructed

Avg Score:51.1%

Providers:0

GPT-3.5 Turbo

+5.1%

Avg Score:56.2%

Providers:2