Model Comparison

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

Google

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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 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.

OpenAI

o3-pro

OpenAI

2025-06-10

Google

Gemma 3n E4B Instructed

Google

2025-06-26

16 days newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

$40.00 cheaper
Input:$20.00
Output:$40.00
OpenAI

o3-pro

Input:$20.00
Output:$80.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
OpenAI

o3-pro

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

o3-pro

2024-05-31

Gemma 3n E4B Instructed

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 Instructed

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
OpenAI

o3-pro

1 providers

OpenAI

Throughput: 25 tok/s
Latency: 30ms
Google

Gemma 3n E4B Instructed

Avg Score:0.0%
Providers:1
OpenAI

o3-pro

Avg Score:0.0%
Providers:1