The AI arena is free today

Open Superagent

Llama 3.1 Nemotron Nano 8B V1 vs Qwen3 VL 4B Instruct

Llama 3.1 Nemotron Nano 8B V1 and Qwen3 VL 4B Instruct are closely matched at 4.8 and 10.8 on the LLM Stats Score.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.1 Nemotron Nano 8B V1 and Qwen3 VL 4B Instruct are closely matched on the overall LLM Stats Score at 4.8 and 10.8.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Llama 3.1 Nemotron Nano 8B V1

  • you are already invested in the NVIDIA ecosystem

Choose Qwen3 VL 4B Instruct

  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Llama 3.1 Nemotron Nano 8B V1
NVIDIA
Qwen3 VL 4B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
4.8
#298
10.8
#260
Reasoning
5.4
#293
8.3
#273
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.10 / M
Output price
— / M
$0.60 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.1 Nemotron Nano 8B V1
Qwen3 VL 4B Instruct
Math
8.8#256
7.8#261
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for Llama 3.1 Nemotron Nano 8B V1 · 45 for Qwen3 VL 4B Instruct

2 shared

Llama 3.1 Nemotron Nano 8B V1 outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 4B Instruct is better at 1 benchmark (IFEval).

Both models are evenly matched across the benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

4.0B diff

Llama 3.1 Nemotron Nano 8B V1 has 4.0B more parameters than Qwen3 VL 4B Instruct, making it 100.0% larger.

NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
8.0B
Llama 3.1 Nemotron Nano 8B V1
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 does not.

Qwen3 VL 4B Instruct 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 4B Instruct

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 4B Instruct 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 4B Instruct

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 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 6 months newer than Llama 3.1 Nemotron Nano 8B V1.

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.5 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

11 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 4B Instruct'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 4B Instruct's cutoff date.

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Qwen3 VL 4B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Llama 3.1 Nemotron Nano 8B V1 and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 Nemotron Nano 8B V1
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 Nemotron Nano 8B V1 vs Qwen3 VL 4B Instruct.

Which is better, Llama 3.1 Nemotron Nano 8B V1 or Qwen3 VL 4B Instruct?

Llama 3.1 Nemotron Nano 8B V1 and Qwen3 VL 4B Instruct are closely matched on the LLM Stats Score at 4.8 and 10.8. Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA and Qwen3 VL 4B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.1 Nemotron Nano 8B V1 compare to Qwen3 VL 4B Instruct 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 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Llama 3.1 Nemotron Nano 8B V1 and Qwen3 VL 4B Instruct?

Llama 3.1 Nemotron Nano 8B V1 supports an unknown number of tokens and Qwen3 VL 4B Instruct supports 262K 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 4B Instruct?

Key differences include LLM Stats Score (4.8 vs 10.8), 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 4B Instruct?

Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons