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

Qwen3 235B A22B

Alibaba

Qwen3 235B A22B is a language model developed by Alibaba. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). The model shows particular specialization in math tasks with an average performance of 83.3%. It supports a 256K token context window for handling large documents. The model is available through 4 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.

Alibaba

Qwen3 235B A22B

Alibaba

2025-04-29

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

1 days newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi 4 Reasoning

Max Context:-
Parameters:14.0B
Alibaba

Qwen3 235B A22B

Larger context
Max Context:256.0K
Parameters:235.0B

Average performance across 6 common benchmarks

Microsoft

Phi 4 Reasoning

Average Score:67.6%
Alibaba

Qwen3 235B A22B

+7.3%
Average Score:74.9%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Reasoning

math
76.6%
code
+0.1%
76.7%
general
74.3%
Alibaba

Qwen3 235B A22B

math
+6.7%
83.3%
code
76.6%
general
+0.5%
74.8%
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

Qwen3 235B A22B

4 providers

Together

Throughput: 23.74 tok/s
Latency: 0.79ms

DeepInfra

Throughput: 21.74 tok/s
Latency: 1.23ms

Fireworks

Throughput: 68.17 tok/s
Latency: 0.78ms

Novita

Throughput: 38.51 tok/s
Latency: 1.02ms
Microsoft

Phi 4 Reasoning

Avg Score:67.6%
Providers:0
Alibaba

Qwen3 235B A22B

+7.3%
Avg Score:74.9%
Providers:4