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

o3-pro

OpenAI

o3-pro is a multimodal language model developed by OpenAI. It supports a 300K token context window for handling large documents. The model is available through 1 API provider. 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 Instructed LiteRT (Preview)

Google

2025-05-20

OpenAI

o3-pro

OpenAI

2025-06-10

21 days newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Max Context:-
Parameters:1.9B
OpenAI

o3-pro

Larger context
Max Context:300.0K
Knowledge Cutoff
Training data recency comparison

o3-pro

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

o3-pro

1 providers

OpenAI

Throughput: 25 tok/s
Latency: 30ms
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Avg Score:0.0%
Providers:0
OpenAI

o3-pro

Avg Score:0.0%
Providers:1