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

OpenAI

o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 65.3% across 19 benchmarks. It excels particularly in AIME 2024 (91.6%), ARC-AGI (88.0%), MathVista (86.8%). The model shows particular specialization in vision tasks with an average performance of 76.7%. 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.

OpenAI

o3

OpenAI

2025-04-16

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

o3

Larger context
Max Context:300.0K

Average performance across 2 common benchmarks

Google

Gemma 3n E2B Instructed LiteRT (Preview)

Average Score:15.8%
OpenAI

o3

+69.1%
Average Score:84.9%

Performance comparison across key benchmark categories

Google

Gemma 3n E2B Instructed LiteRT (Preview)

general
42.2%
reasoning
+19.4%
66.6%
math
40.4%
OpenAI

o3

general
+25.3%
67.5%
reasoning
47.3%
math
+10.9%
51.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3

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

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Google

Gemma 3n E2B Instructed LiteRT (Preview)

Avg Score:15.8%
Providers:0
OpenAI

o3

+69.1%
Avg Score:84.9%
Providers:1