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.

Alibaba

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

Google

Gemma 3 12B

Google

2025-03-12

2 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3 12B

Larger context
Max Context:262.1K
Parameters:12.0B
Alibaba

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

Google

Gemma 3 12B

math
+20.3%
73.9%
vision
70.2%
general
+32.8%
53.2%
Alibaba

QvQ-72B-Preview

math
53.6%
vision
+0.1%
70.3%
general
20.4%

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 12B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Alibaba

QvQ-72B-Preview

0 providers
Google

Gemma 3 12B

Avg Score:0.0%
Providers:1
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0