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Phi-3.5-MoE-instruct vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 5.6% higher average benchmark score. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K 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.
11 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Performance Metrics
Context window and performance specifications
Average performance across 54 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:37.6%(+5.6%)
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Qwen3-235B-A22B-Thinking-2507
Average Score:32.1%
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:37.6%(+5.6%)
Providers:0
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Qwen3-235B-A22B-Thinking-2507
Avg Score:32.1%
Providers:1