Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
Alibaba Cloud / Qwen Team
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
4 months newer

Phi 4 Mini Reasoning
Microsoft
2025-04-30

Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
Phi 4 Mini Reasoning
2025-02-01
Available providers and their performance metrics

Phi 4 Mini Reasoning

Qwen3-Next-80B-A3B-Base

Phi 4 Mini Reasoning

Qwen3-Next-80B-A3B-Base