Model Comparison

Llama 3.1 Nemotron Nano 8B V1 vs Qwen2.5 VL 7B Instruct

Comparing Llama 3.1 Nemotron Nano 8B V1 and Qwen2.5 VL 7B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 3.1 Nemotron Nano 8B V1 and Qwen2.5 VL 7B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

290.0M diff

Qwen2.5 VL 7B Instruct has 0.3B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 3.6% larger.

NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
8.0B
Llama 3.1 Nemotron Nano 8B V1
8.3B
Qwen2.5 VL 7B Instruct

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 7B Instruct supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 does not.

Qwen2.5 VL 7B 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

Qwen2.5 VL 7B 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 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 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Qwen2.5 VL 7B 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 Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Llama 3.1 Nemotron Nano 8B V1 is 2 months newer than Qwen2.5 VL 7B Instruct.

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.1 years ago

1mo newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B V1 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 3.1 Nemotron Nano 8B V1's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen2.5 VL 7B Instruct's cutoff date.

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Qwen2.5 VL 7B Instruct

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 VL 7B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

FAQ

Common questions about Llama 3.1 Nemotron Nano 8B V1 vs Qwen2.5 VL 7B Instruct

Llama 3.1 Nemotron Nano 8B V1 (NVIDIA) and Qwen2.5 VL 7B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
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%. 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%.
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.
Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.