Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 52.2% higher average benchmark score. QwQ-32B-Preview is available on 4 providers. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). 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-MoE-instruct
Microsoft
2024-08-23
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Context window and performance specifications
Average performance across 34 common benchmarks
Phi-3.5-MoE-instruct
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Phi-3.5-MoE-instruct
QwQ-32B-Preview
DeepInfra
Phi-3.5-MoE-instruct
QwQ-32B-Preview
Phi-3.5-MoE-instruct
QwQ-32B-Preview
Fireworks
Hyperbolic
Together