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Phi 4 Mini Reasoning vs Qwen3-Next-80B-A3B-Instruct
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Instruct leads with 54.0% higher average benchmark score. Overall, Qwen3-Next-80B-A3B-Instruct is the stronger choice for coding tasks.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). It supports a 131K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
2025-09-10
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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Phi 4 Mini Reasoning
Average Score:7.8%
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Qwen3-Next-80B-A3B-Instruct
Average Score:61.9%(+54.0%)
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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-Instruct
1 providers
Novita
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Phi 4 Mini Reasoning
Avg Score:7.8%
Providers:0
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Qwen3-Next-80B-A3B-Instruct
Avg Score:61.9%(+54.0%)
Providers:1