Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 27.6% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). 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 2024, it represents Microsoft's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). 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.
3 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Context window and performance specifications
Average performance across 13 common benchmarks
Phi-3.5-vision-instruct
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Phi-3.5-vision-instruct
QwQ-32B-Preview
DeepInfra
Phi-3.5-vision-instruct
QwQ-32B-Preview
Phi-3.5-vision-instruct
QwQ-32B-Preview
Fireworks
Hyperbolic
Together