Model Comparison

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

Microsoft

Phi 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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

Qwen2.5 7B Instruct

Alibaba

Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K 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 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 7B Instruct

Alibaba

2024-09-19

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

7 months newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi 4 Reasoning

Max Context:-
Parameters:14.0B
Alibaba

Qwen2.5 7B Instruct

Larger context
Max Context:139.3K
Parameters:7.6B

Average performance across 5 common benchmarks

Microsoft

Phi 4 Reasoning

+21.2%
Average Score:70.1%
Alibaba

Qwen2.5 7B Instruct

Average Score:48.9%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Reasoning

math
76.6%
code
+10.7%
76.7%
general
+13.6%
74.3%
Alibaba

Qwen2.5 7B Instruct

math
+7.0%
83.5%
code
66.0%
general
60.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Reasoning

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi 4 Reasoning

0 providers
Alibaba

Qwen2.5 7B Instruct

1 providers

Together

Throughput: 138 tok/s
Latency: 0.5ms
Microsoft

Phi 4 Reasoning

+21.2%
Avg Score:70.1%
Providers:0
Alibaba

Qwen2.5 7B Instruct

Avg Score:48.9%
Providers:1