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

Granite 3.3 8B Base
IBM
Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). 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 IBM's latest advancement in AI technology.

Qwen2.5 VL 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 Alibaba's latest advancement in AI technology.

Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28

Granite 3.3 8B Base
IBM
2025-04-16
1 month newer
Average performance across 2 common benchmarks

Granite 3.3 8B Base

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories

Granite 3.3 8B Base

Qwen2.5 VL 32B Instruct
Granite 3.3 8B Base
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

Granite 3.3 8B Base

Qwen2.5 VL 32B Instruct

Granite 3.3 8B Base

Qwen2.5 VL 32B Instruct