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

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.

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.

Phi 4 Mini
Microsoft
2025-02-01

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
5 months newer
Performance Metrics
Context window and performance specifications

Phi 4 Mini

Qwen3-235B-A22B-Thinking-2507
Average performance across 2 common benchmarks

Phi 4 Mini

Qwen3-235B-A22B-Thinking-2507
Performance comparison across key benchmark categories

Phi 4 Mini

Qwen3-235B-A22B-Thinking-2507
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4 Mini

Qwen3-235B-A22B-Thinking-2507
Novita

Phi 4 Mini

Qwen3-235B-A22B-Thinking-2507