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

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.

Qwen3 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Qwen3 32B
Alibaba
2025-04-29

Phi 4 Mini Reasoning
Microsoft
2025-04-30
1 days newer
Performance Metrics
Context window and performance specifications

Phi 4 Mini Reasoning

Qwen3 32B
Performance comparison across key benchmark categories

Phi 4 Mini Reasoning

Qwen3 32B
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini Reasoning

Qwen3 32B
Sambanova
DeepInfra
Novita

Phi 4 Mini Reasoning

Qwen3 32B