Model Comparison

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

Google

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.

OpenAI

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

o1-mini

OpenAI

2024-09-12

Google

Gemma 3n E4B

Google

2025-06-26

9 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B

Max Context:-
Parameters:8.0B
OpenAI

o1-mini

Larger context
Max Context:193.5K

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

general
+1.7%
59.6%
OpenAI

o1-mini

general
58.0%
Knowledge Cutoff
Training data recency comparison

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

Google

Gemma 3n E4B

0 providers
OpenAI

o1-mini

2 providers

Azure

Throughput: 100 tok/s
Latency: 0.5ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
OpenAI

o1-mini

Avg Score:0.0%
Providers:2