Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Microsoft

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.

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

11 months newer

Average performance across 2 common benchmarks

Microsoft

Phi-3.5-MoE-instruct

Average Score:41.0%
Alibaba

Qwen3-235B-A22B-Instruct-2507

+39.2%
Average Score:80.3%

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-MoE-instruct

reasoning
+17.0%
85.4%
code
+5.5%
75.8%
general
60.9%
math
+18.8%
69.0%
Alibaba

Qwen3-235B-A22B-Instruct-2507

reasoning
68.4%
code
70.3%
general
+12.8%
73.7%
math
50.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-MoE-instruct

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Microsoft

Phi-3.5-MoE-instruct

Avg Score:41.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

+39.2%
Avg Score:80.3%
Providers:0