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

GPT-5

OpenAI

GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 telecom (96.7%). It supports a 528K token context window for handling large documents. 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.

Google

Gemma 3n E2B

Google

2025-06-26

OpenAI

GPT-5

OpenAI

2025-08-07

1 month newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E2B

Max Context:-
Parameters:8.0B
OpenAI

GPT-5

Larger context
Max Context:528.0K

Performance comparison across key benchmark categories

Google

Gemma 3n E2B

general
54.1%
OpenAI

GPT-5

general
+20.2%
74.3%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E2B

2024-06-01

GPT-5

2024-09-30

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

GPT-5

2 providers

OpenAI

Throughput: 100 tok/s
Latency: 2ms

ZeroEval

Throughput: 100 tok/s
Latency: 2ms
Google

Gemma 3n E2B

Avg Score:0.0%
Providers:0
OpenAI

GPT-5

Avg Score:0.0%
Providers:2