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Model Comparison

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

Microsoft

Phi 4

Microsoft

Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. 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 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.

Microsoft

Phi 4

Microsoft

2024-12-12

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

Alibaba Cloud / Qwen Team

2025-01-10

29 days newer

Pricing Comparison

Cost per million tokens (USD)

Microsoft

Phi 4

$1.44 cheaper
Input:$0.07
Output:$0.14
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

Input:$0.15
Output:$1.50

Performance Metrics

Context window and performance specifications

Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B
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

Average Score:63.2%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

+17.2%
Average Score:80.4%

Performance comparison across key benchmark categories

Microsoft

Phi 4

factuality
3.0%
math
+34.6%
80.5%
code
+5.7%
76.1%
general
66.6%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

factuality
+87.9%
90.9%
math
45.9%
code
70.5%
general
+9.3%
75.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4

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

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

1 providers

Novita

Microsoft

Phi 4

Avg Score:63.2%
Providers:1
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Instruct

+17.2%
Avg Score:80.4%
Providers:1