Llama 3.2 3B Instruct vs Qwen3.5-4B Comparison
Comparing Llama 3.2 3B Instruct and Qwen3.5-4B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.2 3B Instruct outperforms in 0 benchmarks, while Qwen3.5-4B is better at 2 benchmarks (GPQA, IFEval).
Qwen3.5-4B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3.5-4B has 0.8B more parameters than Llama 3.2 3B Instruct, making it 24.6% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-4B supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.
Qwen3.5-4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.2 3B Instruct
Qwen3.5-4B
License
Usage and distribution terms
Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while Qwen3.5-4B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.2 Community License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.2 3B Instruct was released on 2024-09-25, while Qwen3.5-4B was released on 2026-03-02.
Qwen3.5-4B is 17 months newer than Llama 3.2 3B Instruct.
Sep 25, 2024
1.5 years ago
Mar 2, 2026
2 weeks ago
1.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen3.5-4B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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