Model Comparison

Llama 3.2 11B Instruct vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.

Verdict: Llama 3.2 11B Instruct vs Qwen3 VL 32B Thinking — which is better?

Llama 3.2 11B Instruct (by Meta) and Qwen3 VL 32B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Llama 3.2 11B Instruct outperforms in 1 benchmarks (AI2D), while Qwen3 VL 32B Thinking is better at 3 benchmarks (GPQA, MMLU, MMMU-Pro). Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.

Choose Llama 3.2 11B Instruct if…

  • you want predictable pricing at $0.05/M input and $0.05/M output

Choose Qwen3 VL 32B Thinking if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.2 11B Instruct outperforms in 1 benchmarks (AI2D), while Qwen3 VL 32B Thinking is better at 3 benchmarks (GPQA, MMLU, MMMU-Pro).

Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.

Tue Jun 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

22.4B diff

Qwen3 VL 32B Thinking has 22.4B more parameters than Llama 3.2 11B Instruct, making it 211.3% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
10.6B
Llama 3.2 11B Instruct
33.0B
Qwen3 VL 32B Thinking

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 3.2 11B Instruct and Qwen3 VL 32B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 3.2 11B Instruct

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Qwen3 VL 32B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Qwen3 VL 32B Thinking

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 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 12 months newer than Llama 3.2 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

1.7 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

12mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 32B 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 32B Thinking's cutoff date.

Llama 3.2 11B Instruct

Dec 2023

Qwen3 VL 32B Thinking

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Higher AI2D score (91.1% vs 88.9%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (73.1% vs 32.8%)
Higher MMLU score (88.7% vs 73.0%)
Higher MMMU-Pro score (68.1% vs 33.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.2 11B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about Llama 3.2 11B Instruct vs Qwen3 VL 32B Thinking.

Which is better, Llama 3.2 11B Instruct or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks. Llama 3.2 11B Instruct is made by Meta and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.2 11B Instruct compare to Qwen3 VL 32B Thinking in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Llama 3.2 11B Instruct and Qwen3 VL 32B Thinking?

Llama 3.2 11B Instruct supports 128K tokens and Qwen3 VL 32B Thinking supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.2 11B Instruct and Qwen3 VL 32B Thinking?

Key differences include licensing (Llama 3.2 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 11B Instruct and Qwen3 VL 32B Thinking?

Llama 3.2 11B Instruct is developed by Meta and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.