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

GPT-4o

OpenAI

GPT-4o is a multimodal language model developed by OpenAI. The model shows competitive results across 32 benchmarks. It excels particularly in AI2D (94.2%), DocVQA (92.8%), ChartQA (85.7%). The model shows particular specialization in vision tasks with an average performance of 82.5%. It supports a 144K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

GPT-4o

OpenAI

2024-08-06

Google

Gemma 3n E4B Instructed

Google

2025-06-26

10 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00
OpenAI

GPT-4o

$47.50 cheaper
Input:$2.50
Output:$10.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
OpenAI

GPT-4o

Larger context
Max Context:144.4K

Average performance across 3 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:46.4%
OpenAI

GPT-4o

+30.4%
Average Score:76.8%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

code
38.9%
math
52.4%
general
41.6%
OpenAI

GPT-4o

code
+42.1%
81.0%
math
+9.0%
61.4%
general
+10.5%
52.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

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

GPT-4o

3 providers

Azure

Throughput: 99 tok/s
Latency: 0.53ms

ZeroEval

Throughput: 99 tok/s
Latency: 0.53ms

OpenAI

Throughput: 132 tok/s
Latency: 0.5ms
Google

Gemma 3n E4B Instructed

Avg Score:46.4%
Providers:1
OpenAI

GPT-4o

+30.4%
Avg Score:76.8%
Providers:3