Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Granite 3.3 8B Instruct supports multimodal inputs. Qwen2.5-Coder 32B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
IBM
Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 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 Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Granite 3.3 8B Instruct
IBM
2025-04-16
Context window and performance specifications
Average performance across 25 common benchmarks
Granite 3.3 8B Instruct
Qwen2.5-Coder 32B Instruct
Granite 3.3 8B Instruct
2024-04-01
Available providers and their performance metrics
Granite 3.3 8B Instruct
Qwen2.5-Coder 32B Instruct
DeepInfra
Granite 3.3 8B Instruct
Qwen2.5-Coder 32B Instruct
Granite 3.3 8B Instruct
Qwen2.5-Coder 32B Instruct
Fireworks
Hyperbolic
Lambda