Phi 4 vs Qwen3.5-2B Comparison
Comparing Phi 4 and Qwen3.5-2B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen3.5-2B is better at 1 benchmark (IFEval).
Phi 4 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Phi 4 has 12.7B more parameters than Qwen3.5-2B, making it 635.0% larger.
Context Window
Maximum input and output token capacity
Only Phi 4 specifies input context (16,000 tokens). Only Phi 4 specifies output context (16,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-2B supports multimodal inputs, whereas Phi 4 does not.
Qwen3.5-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Phi 4
Qwen3.5-2B
License
Usage and distribution terms
Phi 4 is licensed under MIT, while Qwen3.5-2B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Phi 4 was released on 2024-12-12, while Qwen3.5-2B was released on 2026-03-02.
Qwen3.5-2B is 15 months newer than Phi 4.
Dec 12, 2024
1.3 years ago
Mar 2, 2026
1 weeks ago
1.2yr newerKnowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Qwen3.5-2B's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3.5-2B's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Phi 4
View detailsMicrosoft
Qwen3.5-2B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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