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Llama 3.1 70B Instruct vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 7.6.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.3 to 7.6, ranking #236 overall.

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

Choose Llama 3.1 70B Instruct

  • you want predictable pricing at $0.20/M input and $0.20/M output

Choose Qwen2-VL-72B-Instruct

  • overall performance matters — it scores 14.3 and ranks #236 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2024

At a glance

The differences that matter most.

Llama 3.1 70B Instruct
Meta
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
7.6
#285
14.3
#236
Reasoning
6.3
#287
11.6
#251
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.20 / M
— / M
Output price
$0.20 / M
— / M
Context window
128,000
—

Individual benchmarks

18 reported for Llama 3.1 70B Instruct · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Llama 3.1 70B Instruct and Qwen2-VL-72B-Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

3.4B diff

Qwen2-VL-72B-Instruct has 3.4B more parameters than Llama 3.1 70B Instruct, making it 4.9% larger.

Meta
Llama 3.1 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
70.0B
Llama 3.1 70B Instruct
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 70B Instruct specifies input context (128,000 tokens). Only Llama 3.1 70B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Llama 3.1 70B 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 70B Instruct

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 70B 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 70B 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 70B 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 70B Instruct.

Llama 3.1 70B Instruct

Jul 23, 2024

2.1 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

1mo newer

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while Llama 3.1 70B Instruct's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without Llama 3.1 70B Instruct's cutoff date.

Llama 3.1 70B Instruct

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Llama 3.1 70B Instruct and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 70B Instruct
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 70B Instruct vs Qwen2-VL-72B-Instruct.

Which is better, Llama 3.1 70B Instruct or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to 7.6. Llama 3.1 70B Instruct is made by Meta and Qwen2-VL-72B-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 70B Instruct compare to Qwen2-VL-72B-Instruct in benchmarks?

Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%. 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 70B Instruct and Qwen2-VL-72B-Instruct?

Llama 3.1 70B Instruct supports 128K 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 70B Instruct and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (7.6 vs 14.3), 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 70B Instruct and Qwen2-VL-72B-Instruct?

Llama 3.1 70B Instruct is developed by Meta and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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