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-4.5

OpenAI

GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 64.1% across 26 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). The model shows particular specialization in code tasks with an average performance of 88.1%. It supports a 132K 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

GPT-4.5

OpenAI

2025-02-27

Google

Gemma 3n E4B Instructed

Google

2025-06-26

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

$165.00 cheaper
Input:$20.00
Output:$40.00
OpenAI

GPT-4.5

Input:$75.00
Output:$150.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
OpenAI

GPT-4.5

Larger context
Max Context:132.1K

Average performance across 3 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:54.5%
OpenAI

GPT-4.5

+28.2%
Average Score:82.8%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

code
38.9%
math
52.4%
general
41.6%
OpenAI

GPT-4.5

code
+49.2%
88.1%
math
+32.3%
84.7%
general
+17.7%
59.3%
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-4.5

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Google

Gemma 3n E4B Instructed

Avg Score:54.5%
Providers:1
OpenAI

GPT-4.5

+28.2%
Avg Score:82.8%
Providers:1