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

QwQ-32B-Preview

Alibaba

QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. 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

QwQ-32B-Preview

Alibaba

2024-11-28

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

2 months newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi 4 Mini

Max Context:-
Parameters:3.8B
Alibaba

QwQ-32B-Preview

Larger context
Max Context:65.5K
Parameters:32.5B

Average performance across 1 common benchmarks

Microsoft

Phi 4 Mini

Average Score:25.2%
Alibaba

QwQ-32B-Preview

+40.0%
Average Score:65.2%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini

math
72.2%
general
+3.2%
60.8%
Alibaba

QwQ-32B-Preview

math
+18.4%
90.6%
general
57.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

QwQ-32B-Preview

2024-11-28

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

QwQ-32B-Preview

4 providers

Together

Throughput: 62.14 tok/s
Latency: 0.74ms

Hyperbolic

Throughput: 31.9 tok/s
Latency: 1.05ms

DeepInfra

Throughput: 76.04 tok/s
Latency: 0.44ms

Fireworks

Throughput: 99.15 tok/s
Latency: 0.53ms
Microsoft

Phi 4 Mini

Avg Score:25.2%
Providers:0
Alibaba

QwQ-32B-Preview

+40.0%
Avg Score:65.2%
Providers:4