Comprehensive side-by-side LLM comparison
Qwen3 30B A3B leads with 41.1% higher average benchmark score. Qwen3 30B A3B is available on 3 providers. Overall, Qwen3 30B A3B is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen3 30B was created with a mixture-of-experts architecture featuring 30 billion total parameters and 3 billion active parameters. Built to provide strong capabilities with efficient inference through sparse activation, it balances performance with practical computational requirements.
8 months newer

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

Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Context window and performance specifications
Average performance across 2 common benchmarks

Phi-3.5-MoE-instruct

Qwen3 30B A3B
Available providers and their performance metrics

Phi-3.5-MoE-instruct

Qwen3 30B A3B
DeepInfra

Phi-3.5-MoE-instruct

Qwen3 30B A3B

Phi-3.5-MoE-instruct

Qwen3 30B A3B
Fireworks
Novita