Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 17.8% higher average benchmark score. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B 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 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
8 months newer

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

Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Context window and performance specifications
Average performance across 9 common benchmarks

Phi-3.5-MoE-instruct

Qwen3 235B A22B
Available providers and their performance metrics

Phi-3.5-MoE-instruct

Qwen3 235B A22B
DeepInfra

Phi-3.5-MoE-instruct

Qwen3 235B A22B

Phi-3.5-MoE-instruct

Qwen3 235B A22B
Fireworks
Novita
Together