Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemma 3 4B

Google

Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

OpenAI

GPT-4

OpenAI

GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

OpenAI

GPT-4

OpenAI

2023-06-13

Google

Gemma 3 4B

Google

2025-03-12

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 4B

$89.94 cheaper
Input:$0.02
Output:$0.04
OpenAI

GPT-4

Input:$30.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3 4B

Larger context
Max Context:262.1K
Parameters:4.0B
OpenAI

GPT-4

Max Context:65.5K

Average performance across 3 common benchmarks

Google

Gemma 3 4B

+11.0%
Average Score:59.2%
OpenAI

GPT-4

Average Score:48.2%

Performance comparison across key benchmark categories

Google

Gemma 3 4B

general
40.7%
math
64.5%
code
61.5%
OpenAI

GPT-4

general
+35.5%
76.2%
math
+4.0%
68.5%
code
+5.5%
67.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4

2022-12-31

Gemma 3 4B

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 4B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
OpenAI

GPT-4

2 providers

Azure

Throughput: 104 tok/s
Latency: 0.3ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemma 3 4B

+11.0%
Avg Score:59.2%
Providers:1
OpenAI

GPT-4

Avg Score:48.2%
Providers:2