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Phi 4 Mini Reasoning vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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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.
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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
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4 Mini Reasoning
0 providers
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Qwen3-Next-80B-A3B-Base
0 providers
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Phi 4 Mini Reasoning
Avg Score:0.0%
Providers:0
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0