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.

Qwen3 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Granite 3.3 8B Base
IBM
2025-04-16

Qwen3 32B
Alibaba
2025-04-29
13 days newer
Performance Metrics
Context window and performance specifications

Granite 3.3 8B Base

Qwen3 32B
Average performance across 2 common benchmarks

Granite 3.3 8B Base

Qwen3 32B
Performance comparison across key benchmark categories

Granite 3.3 8B Base

Qwen3 32B
Granite 3.3 8B Base
2024-04-01
Provider Availability & Performance
Available providers and their performance metrics

Granite 3.3 8B Base

Qwen3 32B
Sambanova
DeepInfra
Novita

Granite 3.3 8B Base

Qwen3 32B