Model Comparison

Llama 3.2 11B Instruct vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 3.2 11B Instruct outperforms in 0 benchmarks, while Qwen2-VL-72B-Instruct is better at 2 benchmarks (ChartQA, MMMU-Pro).

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

62.8B diff

Qwen2-VL-72B-Instruct has 62.8B more parameters than Llama 3.2 11B Instruct, making it 592.5% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
10.6B
Llama 3.2 11B Instruct
73.4B
Qwen2-VL-72B-Instruct

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
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 3.2 11B Instruct and Qwen2-VL-72B-Instruct 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

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Llama 3.2 11B Instruct was released on 2024-09-25, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Llama 3.2 11B Instruct is 1 month newer than Qwen2-VL-72B-Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

1.6 years ago

3w newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a knowledge cutoff of 2023-12-31, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Llama 3.2 11B Instruct has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Llama 3.2 11B Instruct

Dec 2023

6 mo newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Higher ChartQA score (88.3% vs 83.4%)
Higher MMMU-Pro score (46.2% vs 33.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.2 11B Instruct
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Llama 3.2 11B Instruct vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is made by Meta and Qwen2-VL-72B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.
Llama 3.2 11B Instruct supports 128K tokens and Qwen2-VL-72B-Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Llama 3.2 Community License vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.
Llama 3.2 11B Instruct is developed by Meta and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.