Model Comparison

Llama 3.1 Nemotron Nano 8B V1 vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.1 Nemotron Nano 8B V1 outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 3 benchmarks (AIME 2025, GPQA, IFEval).

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

23.0B diff

Qwen3 VL 30B A3B Thinking has 23.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 287.5% larger.

Llama 3.1 Nemotron Nano 8B V1

8.0Bparameters

Qwen3 VL 30B A3B Thinking

31.0Bparameters

8.0B

Llama 3.1 Nemotron Nano 8B V1

31.0B

Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Llama 3.1 Nemotron Nano 8B V1

Input- tokens

Output- tokens

Qwen3 VL 30B A3B Thinking

Input131,072 tokens

Output32,768 tokens

Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 does not.

Qwen3 VL 30B A3B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 Nemotron Nano 8B V1

Text

Images

Audio

Video

Qwen3 VL 30B A3B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Llama 3.1 Nemotron Nano 8B V1 is licensed under Llama 3.1 Community License, while Qwen3 VL 30B A3B Thinking uses Apache 2.0.

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

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Qwen3 VL 30B A3B Thinking is 6 months newer than Llama 3.1 Nemotron Nano 8B V1.

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.2 years ago

Qwen3 VL 30B A3B Thinking

Sep 22, 2025

8 months ago

6mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B V1 has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 30B A3B Thinking's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Nano 8B V1's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 VL 30B A3B Thinking's cutoff date.

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Qwen3 VL 30B A3B Thinking

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Outputs Comparison

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Key Takeaways

Llama 3.1 Nemotron Nano 8B V1

View details

NVIDIA

No standout differentiators in the data we have for this pair.

Qwen3 VL 30B A3B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Supports multimodal inputs

Higher AIME 2025 score (83.1% vs 47.1%)

Higher GPQA score (74.4% vs 54.1%)

Higher IFEval score (81.7% vs 79.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Llama 3.1 Nemotron Nano 8B V1	Qwen3 VL 30B A3B Thinking

FAQ

Common questions about Llama 3.1 Nemotron Nano 8B V1 vs Qwen3 VL 30B A3B Thinking.

Which is better, Llama 3.1 Nemotron Nano 8B V1 or Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks. Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA and Qwen3 VL 30B A3B 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 Nemotron Nano 8B V1 compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

What are the context window sizes for Llama 3.1 Nemotron Nano 8B V1 and Qwen3 VL 30B A3B Thinking?

Llama 3.1 Nemotron Nano 8B V1 supports an unknown number of tokens and Qwen3 VL 30B A3B Thinking supports 131K 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 Nemotron Nano 8B V1 and Qwen3 VL 30B A3B 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 Nemotron Nano 8B V1 and Qwen3 VL 30B A3B Thinking?

Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.