Model Comparison

Llama 3.2 11B Instruct vs Qwen2.5 VL 7B InstructWhich is better in 2026?

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks.

Verdict: Llama 3.2 11B Instruct vs Qwen2.5 VL 7B Instruct — which is better?

Llama 3.2 11B Instruct (by Meta) and Qwen2.5 VL 7B Instruct (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 0 benchmarks, while Qwen2.5 VL 7B Instruct is better at 4 benchmarks (ChartQA, DocVQA, MMMU, MMMU-Pro). Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks.

Choose Llama 3.2 11B Instruct if…

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

Choose Qwen2.5 VL 7B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.2 11B Instruct outperforms in 0 benchmarks, while Qwen2.5 VL 7B Instruct is better at 4 benchmarks (ChartQA, DocVQA, MMMU, MMMU-Pro).

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks.

Sun Jul 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2.3B diff

Llama 3.2 11B Instruct has 2.3B more parameters than Qwen2.5 VL 7B Instruct, making it 27.9% larger.

Meta
Llama 3.2 11B Instruct
10.6Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
10.6B
Llama 3.2 11B Instruct
8.3B
Qwen2.5 VL 7B 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
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Sun Jul 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 3.2 11B Instruct and Qwen2.5 VL 7B 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

Qwen2.5 VL 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 11B Instruct is licensed under Llama 3.2 Community License, while Qwen2.5 VL 7B Instruct 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

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 11B Instruct was released on 2024-09-25, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Qwen2.5 VL 7B Instruct is 4 months newer than Llama 3.2 11B Instruct.

Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.5 years ago

4mo newer

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen2.5 VL 7B Instruct'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 Qwen2.5 VL 7B Instruct's cutoff date.

Llama 3.2 11B Instruct

Dec 2023

Qwen2.5 VL 7B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

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

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher ChartQA score (87.3% vs 83.4%)
Higher DocVQA score (95.7% vs 88.4%)
Higher MMMU score (58.6% vs 50.7%)
Higher MMMU-Pro score (38.3% vs 33.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.2 11B Instruct and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

Llama 3.2 11B Instruct
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.2 11B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct

FAQ

Common questions about Llama 3.2 11B Instruct vs Qwen2.5 VL 7B Instruct.

Which is better, Llama 3.2 11B Instruct or Qwen2.5 VL 7B Instruct?

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is made by Meta and Qwen2.5 VL 7B Instruct 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 Qwen2.5 VL 7B Instruct in benchmarks?

Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for Llama 3.2 11B Instruct and Qwen2.5 VL 7B Instruct?

Llama 3.2 11B Instruct supports 128K tokens and Qwen2.5 VL 7B Instruct 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 Qwen2.5 VL 7B Instruct?

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 Qwen2.5 VL 7B Instruct?

Llama 3.2 11B Instruct is developed by Meta and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.