Model Comparison

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

Google

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

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 12B

Google

2025-03-12

Google

Gemini Diffusion

Google

2025-05-20

2 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini Diffusion

Max Context:-
Google

Gemma 3 12B

Larger context
Max Context:262.1K
Parameters:12.0B

Average performance across 6 common benchmarks

Google

Gemini Diffusion

+1.9%
Average Score:53.5%
Google

Gemma 3 12B

Average Score:51.6%

Performance comparison across key benchmark categories

Google

Gemini Diffusion

code
60.5%
general
37.9%
Google

Gemma 3 12B

code
+10.0%
70.5%
general
+15.3%
53.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini Diffusion

0 providers
Google

Gemma 3 12B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Google

Gemini Diffusion

+1.9%
Avg Score:53.5%
Providers:0
Google

Gemma 3 12B

Avg Score:51.6%
Providers:1