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

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.

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

Alibaba

Qwen3 32B

Alibaba

2025-04-29

2 months newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi 4 Mini

Max Context:-
Parameters:3.8B
Alibaba

Qwen3 32B

Larger context
Max Context:256.0K
Parameters:32.8B

Average performance across 1 common benchmarks

Microsoft

Phi 4 Mini

Average Score:32.8%
Alibaba

Qwen3 32B

+61.0%
Average Score:93.8%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Mini

general
60.8%
Alibaba

Qwen3 32B

general
+12.8%
73.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

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

Qwen3 32B

3 providers

Sambanova

Throughput: 327.7 tok/s
Latency: 1.08ms

DeepInfra

Throughput: 26.95 tok/s
Latency: 1.19ms

Novita

Throughput: 32.43 tok/s
Latency: 0.93ms
Microsoft

Phi 4 Mini

Avg Score:32.8%
Providers:0
Alibaba

Qwen3 32B

+61.0%
Avg Score:93.8%
Providers:3