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

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

QwQ-32B

Alibaba

2025-03-05

IBM

Granite 3.3 8B Base

IBM

2025-04-16

1 month newer

Average performance across 3 common benchmarks

IBM

Granite 3.3 8B Base

Average Score:75.0%
Alibaba

QwQ-32B

+9.7%
Average Score:84.7%

Performance comparison across key benchmark categories

IBM

Granite 3.3 8B Base

math
64.0%
code
72.5%
general
59.7%
Alibaba

QwQ-32B

math
+26.6%
90.6%
code
+1.1%
73.6%
general
+10.7%
70.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Base

2024-04-01

QwQ-32B

2024-11-28

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

QwQ-32B

0 providers
IBM

Granite 3.3 8B Base

Avg Score:75.0%
Providers:0
Alibaba

QwQ-32B

+9.7%
Avg Score:84.7%
Providers:0