Model Comparison
Llama 3.2 11B Instruct vs Qwen3 VL 4B Thinking
Qwen3 VL 4B Thinking shows notably better performance in the majority of benchmarks. Llama 3.2 11B Instruct is 6.5x cheaper per token.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.2 11B Instruct outperforms in 1 benchmarks (AI2D), while Qwen3 VL 4B Thinking is better at 3 benchmarks (GPQA, MMLU, MMMU-Pro).
Qwen3 VL 4B Thinking shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 2.0x cheaper than Qwen3 VL 4B Thinking ($0.10/1M tokens).
For output processing, Llama 3.2 11B Instruct ($0.05/1M tokens) is 20.0x cheaper than Qwen3 VL 4B Thinking ($1.00/1M tokens).
In conclusion, Qwen3 VL 4B Thinking is more expensive than Llama 3.2 11B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 3.2 11B Instruct has 6.6B more parameters than Qwen3 VL 4B Thinking, making it 165.0% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 4B Thinking accepts 262,144 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Qwen3 VL 4B Thinking can generate longer responses up to 262,144 tokens, while Llama 3.2 11B Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both Llama 3.2 11B Instruct and Qwen3 VL 4B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 3.2 11B Instruct
Qwen3 VL 4B Thinking
License
Usage and distribution terms
Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Qwen3 VL 4B Thinking 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 11B Instruct was released on 2024-09-25, while Qwen3 VL 4B Thinking was released on 2025-09-22.
Qwen3 VL 4B Thinking is 12 months newer than Llama 3.2 11B Instruct.
Sep 25, 2024
1.6 years ago
Sep 22, 2025
7 months ago
12mo newerKnowledge Cutoff
When training data ends
Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 4B Thinking's cutoff date is not specified.
We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 VL 4B Thinking's cutoff date.
Dec 2023
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Provider Availability
Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. Qwen3 VL 4B Thinking is available from DeepInfra.
Llama 3.2 11B Instruct
Qwen3 VL 4B Thinking
Outputs Comparison
Key Takeaways
Qwen3 VL 4B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Llama 3.2 11B Instruct vs Qwen3 VL 4B Thinking.