Model Comparison

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

Google

Gemma 3 12B

Google

Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). 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.

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.

Google

Gemma 3 12B

Google

2025-03-12

Google

Gemma 3 4B

Google

2025-03-12

0 days newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 12B

Input:$0.05
Output:$0.10
Google

Gemma 3 4B

$0.09 cheaper
Input:$0.02
Output:$0.04

Performance Metrics

Context window and performance specifications

Google

Gemma 3 12B

Max Context:262.1K
Parameters:12.0B
Google

Gemma 3 4B

Max Context:262.1K
Parameters:4.0B

Average performance across 26 common benchmarks

Google

Gemma 3 12B

+10.9%
Average Score:63.8%
Google

Gemma 3 4B

Average Score:53.0%

Performance comparison across key benchmark categories

Google

Gemma 3 12B

factuality
+5.7%
75.8%
math
+9.5%
73.9%
code
+9.0%
70.5%
vision
+11.2%
70.2%
general
+12.5%
53.2%
Google

Gemma 3 4B

factuality
70.1%
math
64.5%
code
61.5%
vision
59.0%
general
40.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

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 12B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Google

Gemma 3 4B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Google

Gemma 3 12B

+10.9%
Avg Score:63.8%
Providers:1
Google

Gemma 3 4B

Avg Score:53.0%
Providers:1