Model Comparison

Llama 3.1 405B Instruct vs Qwen3 VL 32B Thinking

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

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.1 405B Instruct outperforms in 1 benchmarks (IFEval), while Qwen3 VL 32B Thinking is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

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

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

372.0B diff

Llama 3.1 405B Instruct has 372.0B more parameters than Qwen3 VL 32B Thinking, making it 1127.3% larger.

Llama 3.1 405B Instruct

405.0Bparameters

Qwen3 VL 32B Thinking

33.0Bparameters

405.0B

Llama 3.1 405B Instruct

33.0B

Qwen3 VL 32B Thinking

Context Window

Maximum input and output token capacity

Only Llama 3.1 405B Instruct specifies input context (128,000 tokens). Only Llama 3.1 405B Instruct specifies output context (128,000 tokens).

Llama 3.1 405B Instruct

Input128,000 tokens

Output128,000 tokens

Qwen3 VL 32B Thinking

Input- tokens

Output- tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Thinking supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 405B Instruct

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 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 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 14 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

1.8 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

1.2yr 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

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Key Takeaways

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Higher GPQA score (73.1% vs 50.7%)

Higher MMLU score (88.7% vs 87.3%)

Higher MMLU-Pro score (82.1% vs 73.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Llama 3.1 405B Instruct	Qwen3 VL 32B Thinking

FAQ

Common questions about Llama 3.1 405B Instruct vs Qwen3 VL 32B Thinking.

Which is better, Llama 3.1 405B Instruct or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks. Llama 3.1 405B 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 3.1 405B Instruct compare to Qwen3 VL 32B Thinking in benchmarks?

Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%. 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 3.1 405B Instruct and Qwen3 VL 32B Thinking?

Llama 3.1 405B 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 3.1 405B Instruct and Qwen3 VL 32B Thinking?

Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 405B Instruct and Qwen3 VL 32B Thinking?

Llama 3.1 405B Instruct is developed by Meta and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.