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Model Comparison

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

Microsoft

Phi 4 Mini Reasoning

Microsoft

Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). 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 Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

2025-07-25

2 months newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi 4 Mini Reasoning

Max Context:-
Parameters:3.8B
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Larger context
Max Context:387.1K
Parameters:235.0B

Average performance across 1 common benchmarks

Microsoft

Phi 4 Mini Reasoning

Average Score:52.0%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+29.1%
Average Score:81.1%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini Reasoning

math
+34.5%
94.6%
general
54.8%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

math
60.1%
general
+22.6%
77.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini Reasoning

2025-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi 4 Mini Reasoning

0 providers
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Microsoft

Phi 4 Mini Reasoning

Avg Score:52.0%
Providers:0
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+29.1%
Avg Score:81.1%
Providers:1