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Phi 4 Mini vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 11.8% higher average benchmark score. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
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Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). 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-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME 2025 (87.8%). 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.
7 months newer
Phi 4 Mini
Microsoft
2025-02-01
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
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Phi 4 Mini
Average Score:29.2%
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Qwen3-Next-80B-A3B-Thinking
Average Score:41.1%(+11.8%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
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
0 providers
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Qwen3-Next-80B-A3B-Thinking
1 providers
Novita
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Phi 4 Mini
Avg Score:29.2%
Providers:0
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Qwen3-Next-80B-A3B-Thinking
Avg Score:41.1%(+11.8%)
Providers:1