Model Comparison

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

IBM

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.

Alibaba

Qwen2-VL-72B-Instruct

Alibaba

Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2-VL-72B-Instruct

Alibaba

2024-08-29

IBM

Granite 3.3 8B Base

IBM

2025-04-16

7 months newer

Performance comparison across key benchmark categories

IBM

Granite 3.3 8B Base

general
59.7%
math
64.0%
Alibaba

Qwen2-VL-72B-Instruct

general
+22.5%
82.2%
math
+6.5%
70.5%
Knowledge Cutoff
Training data recency comparison

Qwen2-VL-72B-Instruct

2023-06-30

Granite 3.3 8B Base

2024-04-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

IBM

Granite 3.3 8B Base

0 providers
Alibaba

Qwen2-VL-72B-Instruct

0 providers
IBM

Granite 3.3 8B Base

Avg Score:0.0%
Providers:0
Alibaba

Qwen2-VL-72B-Instruct

Avg Score:0.0%
Providers:0