Model Comparison

Llama 3.2 3B Instruct vs Qwen2.5 VL 32B InstructWhich is better in 2026?

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.

Verdict: Llama 3.2 3B Instruct vs Qwen2.5 VL 32B Instruct — which is better?

Llama 3.2 3B Instruct (by Meta) and Qwen2.5 VL 32B 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 3B Instruct outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 3 benchmarks (GPQA, MATH, MMLU). Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.

Choose Llama 3.2 3B Instruct if…

  • you want predictable pricing at $0.01/M input and $0.02/M output

Choose Qwen2.5 VL 32B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.2 3B Instruct outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 3 benchmarks (GPQA, MATH, MMLU).

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

30.3B diff

Qwen2.5 VL 32B Instruct has 30.3B more parameters than Llama 3.2 3B Instruct, making it 943.6% larger.

Meta
Llama 3.2 3B Instruct
3.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
3.2B
Llama 3.2 3B Instruct
33.5B
Qwen2.5 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.

Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.2 3B Instruct

Text
Images
Audio
Video

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

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

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.2 3B Instruct was released on 2024-09-25, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Qwen2.5 VL 32B Instruct is 5 months newer than Llama 3.2 3B Instruct.

Llama 3.2 3B Instruct

Sep 25, 2024

1.8 years ago

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.4 years ago

5mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

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 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (46.0% vs 32.8%)
Higher MATH score (82.2% vs 48.0%)
Higher MMLU score (78.4% vs 63.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.2 3B Instruct and Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.

Llama 3.2 3B Instruct
✓ Preferred
Qwen2.5 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.2 3B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct

FAQ

Common questions about Llama 3.2 3B Instruct vs Qwen2.5 VL 32B Instruct.

Which is better, Llama 3.2 3B Instruct or Qwen2.5 VL 32B Instruct?

Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks. Llama 3.2 3B Instruct is made by Meta and Qwen2.5 VL 32B 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 3B Instruct compare to Qwen2.5 VL 32B Instruct in benchmarks?

Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for Llama 3.2 3B Instruct and Qwen2.5 VL 32B Instruct?

Llama 3.2 3B Instruct supports 128K tokens and Qwen2.5 VL 32B 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 3B Instruct and Qwen2.5 VL 32B Instruct?

Key differences include multimodal support (no vs yes), 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 3B Instruct and Qwen2.5 VL 32B Instruct?

Llama 3.2 3B Instruct is developed by Meta and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.