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Phi-3.5-MoE-instruct vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 41.7% higher average benchmark score. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
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Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
11 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:41.0%
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Qwen3-235B-A22B-Thinking-2507
Average Score:82.8%(+41.7%)
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-MoE-instruct
0 providers
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Qwen3-235B-A22B-Thinking-2507
1 providers
Novita
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Phi-3.5-MoE-instruct
Avg Score:41.0%
Providers:0
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Qwen3-235B-A22B-Thinking-2507
Avg Score:82.8%(+41.7%)
Providers:1