Model Comparison

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

Microsoft

Phi 4 Mini

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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 4 Mini

Microsoft

2025-02-01

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

5 months newer

Average performance across 2 common benchmarks

Microsoft

Phi 4 Mini

Average Score:39.0%
Alibaba

Qwen3-235B-A22B-Instruct-2507

+41.3%
Average Score:80.3%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini

general
60.8%
reasoning
+4.9%
73.3%
math
+22.0%
72.2%
Alibaba

Qwen3-235B-A22B-Instruct-2507

general
+12.9%
73.7%
reasoning
68.4%
math
50.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi 4 Mini

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Microsoft

Phi 4 Mini

Avg Score:39.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

+41.3%
Avg Score:80.3%
Providers:0