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-4.1 mini

OpenAI

GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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-4.1 mini

OpenAI

2025-04-14

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

GPT-4.1 mini

$58.00 cheaper
Input:$0.40
Output:$1.60

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
OpenAI

GPT-4.1 mini

Larger context
Max Context:1.1M

Average performance across 3 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:33.4%
OpenAI

GPT-4.1 mini

+30.8%
Average Score:64.2%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

code
38.9%
math
52.4%
general
41.6%
OpenAI

GPT-4.1 mini

code
+45.2%
84.1%
math
+20.7%
73.1%
general
+4.3%
45.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 mini

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

GPT-4.1 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
Google

Gemma 3n E4B Instructed

Avg Score:33.4%
Providers:1
OpenAI

GPT-4.1 mini

+30.8%
Avg Score:64.2%
Providers:2