Model Comparison

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

Google

Gemma 3n E2B

Google

Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 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. Released in 2025, it represents Google's latest advancement in AI technology.

OpenAI

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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

OpenAI

2024-12-17

Google

Gemma 3n E2B

Google

2025-06-26

6 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E2B

Max Context:-
Parameters:8.0B
OpenAI

o1

Larger context
Max Context:300.0K

Performance comparison across key benchmark categories

Google

Gemma 3n E2B

general
54.1%
OpenAI

o1

general
+17.7%
71.8%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B

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

0 providers
OpenAI

o1

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Google

Gemma 3n E2B

Avg Score:0.0%
Providers:0
OpenAI

o1

Avg Score:0.0%
Providers:2