Model Comparison

Llama 3.1 8B Instruct vs Qwen2-VL-72B-InstructWhich is better in 2026?

Comparing Llama 3.1 8B Instruct and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

Verdict: Llama 3.1 8B Instruct vs Qwen2-VL-72B-Instruct — which is better?

Llama 3.1 8B Instruct (by Meta) and Qwen2-VL-72B-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.

Choose Llama 3.1 8B Instruct if…

  • you want predictable pricing at $0.03/M input and $0.03/M output

Choose Qwen2-VL-72B-Instruct if…

  • you want the most recent training data — it shipped Aug 2024

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 3.1 8B Instruct and Qwen2-VL-72B-Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

65.4B diff

Qwen2-VL-72B-Instruct has 65.4B more parameters than Llama 3.1 8B Instruct, making it 817.5% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
8.0B
Llama 3.1 8B Instruct
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 8B Instruct specifies input context (131,072 tokens). Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 8B Instruct

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 1 month newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

1.9 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.8 years ago

1mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a knowledge cutoff of 2023-12-31, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Llama 3.1 8B Instruct has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Llama 3.1 8B Instruct

Dec 2023

6 mo newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (131,072 tokens)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 8B Instruct and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen2-VL-72B-Instruct.

Which is better, Llama 3.1 8B Instruct or Qwen2-VL-72B-Instruct?

Llama 3.1 8B Instruct (Meta) and Qwen2-VL-72B-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.

How does Llama 3.1 8B Instruct compare to Qwen2-VL-72B-Instruct in benchmarks?

Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Llama 3.1 8B Instruct and Qwen2-VL-72B-Instruct?

Llama 3.1 8B Instruct supports 131K tokens and Qwen2-VL-72B-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 3.1 8B Instruct and Qwen2-VL-72B-Instruct?

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

Who makes Llama 3.1 8B Instruct and Qwen2-VL-72B-Instruct?

Llama 3.1 8B Instruct is developed by Meta and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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