🚀 Website under development • Launching soon

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 Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). It supports a 131K 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.

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

Alibaba Cloud / Qwen Team

2025-01-10

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

3 months newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi 4 Reasoning

Max Context:-
Parameters:14.0B
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

Larger context
Max Context:131.1K
Parameters:80.0B

Average performance across 3 common benchmarks

Microsoft

Phi 4 Reasoning

Average Score:74.5%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

+5.9%
Average Score:80.4%

Performance comparison across key benchmark categories

Microsoft

Phi 4 Reasoning

code
+6.3%
76.7%
general
+0.3%
76.2%
math
+23.9%
69.8%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

code
70.5%
general
75.8%
math
45.9%
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 Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

1 providers

Novita

Microsoft

Phi 4 Reasoning

Avg Score:74.5%
Providers:0
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

+5.9%
Avg Score:80.4%
Providers:1