Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Phi-3.5-MoE-instruct
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%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
Qwen3-Next-80B-A3B-Thinking
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%), AIME25 (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.
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-01-10
4 months newer
Performance Metrics
Context window and performance specifications
Phi-3.5-MoE-instruct
Qwen3-Next-80B-A3B-Thinking
Average performance across 2 common benchmarks
Phi-3.5-MoE-instruct
Qwen3-Next-80B-A3B-Thinking
Performance comparison across key benchmark categories
Phi-3.5-MoE-instruct
Qwen3-Next-80B-A3B-Thinking
Provider Availability & Performance
Available providers and their performance metrics
Phi-3.5-MoE-instruct
Qwen3-Next-80B-A3B-Thinking
Novita
Phi-3.5-MoE-instruct
Qwen3-Next-80B-A3B-Thinking