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-5 mini

OpenAI

GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. 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.

Google

Gemma 3n E4B Instructed

Google

2025-06-26

OpenAI

GPT-5 mini

OpenAI

2025-08-07

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00
OpenAI

GPT-5 mini

$57.75 cheaper
Input:$0.25
Output:$2.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
OpenAI

GPT-5 mini

Larger context
Max Context:528.0K

Average performance across 2 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:17.6%
OpenAI

GPT-5 mini

+69.1%
Average Score:86.7%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

general
41.6%
math
+30.3%
52.4%
OpenAI

GPT-5 mini

general
+27.9%
69.5%
math
22.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 mini

2024-05-30

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-5 mini

2 providers

ZeroEval

Throughput: 200 tok/s
Latency: 1ms

OpenAI

Throughput: 200 tok/s
Latency: 1ms
Google

Gemma 3n E4B Instructed

Avg Score:17.6%
Providers:1
OpenAI

GPT-5 mini

+69.1%
Avg Score:86.7%
Providers:2