Model Comparison

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

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Google

Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

OpenAI

GPT-4.1 mini

OpenAI

GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

OpenAI

GPT-4.1 mini

OpenAI

2025-04-14

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Google

2025-05-20

1 month newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Max Context:-
Parameters:1.9B
OpenAI

GPT-4.1 mini

Larger context
Max Context:1.1M

Average performance across 3 common benchmarks

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Average Score:30.5%
OpenAI

GPT-4.1 mini

+33.7%
Average Score:64.2%

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed LiteRT (Preview)

code
33.2%
math
40.4%
general
42.2%
OpenAI

GPT-4.1 mini

code
+50.9%
84.1%
math
+32.7%
73.1%
general
+3.8%
45.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 mini

2024-05-31

Gemma 3n E2B Instructed LiteRT (Preview)

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E2B Instructed LiteRT (Preview)

0 providers
OpenAI

GPT-4.1 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Avg Score:30.5%
Providers:0
OpenAI

GPT-4.1 mini

+33.7%
Avg Score:64.2%
Providers:2