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 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Phi-3.5-MoE-instruct
Microsoft
2024-08-23

Qwen3 32B
Alibaba
2025-04-29
8 months newer
Performance Metrics
Context window and performance specifications

Phi-3.5-MoE-instruct

Qwen3 32B
Average performance across 1 common benchmarks

Phi-3.5-MoE-instruct

Qwen3 32B
Performance comparison across key benchmark categories

Phi-3.5-MoE-instruct

Qwen3 32B
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-MoE-instruct

Qwen3 32B
Sambanova
DeepInfra
Novita

Phi-3.5-MoE-instruct

Qwen3 32B