Llama 3.3 70B Instruct vs Qwen3.5-4B Comparison
Comparing Llama 3.3 70B Instruct and Qwen3.5-4B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.3 70B Instruct outperforms in 1 benchmarks (IFEval), while Qwen3.5-4B is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3.5-4B 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
Llama 3.3 70B Instruct has 66.0B more parameters than Qwen3.5-4B, making it 1650.0% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-4B supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.
Qwen3.5-4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.3 70B Instruct
Qwen3.5-4B
License
Usage and distribution terms
Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, 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 3.3 Community License Agreement
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.3 70B Instruct was released on 2024-12-06, while Qwen3.5-4B was released on 2026-03-02.
Qwen3.5-4B is 15 months newer than Llama 3.3 70B Instruct.
Dec 6, 2024
1.3 years ago
Mar 2, 2026
1 weeks ago
1.2yr 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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