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

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 E4B Instructed

Google

2025-06-26

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00
OpenAI

o3

$50.00 cheaper
Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
OpenAI

o3

Larger context
Max Context:300.0K

Average performance across 2 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:17.6%
OpenAI

o3

+67.2%
Average Score:84.9%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

general
41.6%
math
+1.1%
52.4%
OpenAI

o3

general
+25.9%
67.5%
math
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 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

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Google

Gemma 3n E4B Instructed

Avg Score:17.6%
Providers:1
OpenAI

o3

+67.2%
Avg Score:84.9%
Providers:1