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Llama 3.1 70B Instruct vs Qwen2.5 VL 72B Instruct

Llama 3.1 70B Instruct and Qwen2.5 VL 72B Instruct are closely matched at 7.6 and 12.7 on the LLM Stats Score.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.1 70B Instruct and Qwen2.5 VL 72B Instruct are closely matched on the overall LLM Stats Score at 7.6 and 12.7.

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 Qwen2.5 VL 72B Instruct

  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Llama 3.1 70B Instruct
Meta
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
7.6
#289
12.7
#253
Reasoning
6.3
#291
12.8
#244
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.20 / M
— / M
Output price
$0.20 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.1 70B Instruct
Qwen2.5 VL 72B Instruct
Math
11.4#241
7.6#263
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 70B Instruct · 30 for Qwen2.5 VL 72B Instruct

No common benchmarks found

Llama 3.1 70B Instruct and Qwen2.5 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

2.0B diff

Qwen2.5 VL 72B Instruct has 2.0B more parameters than Llama 3.1 70B Instruct, making it 2.9% larger.

Meta
Llama 3.1 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
70.0B
Llama 3.1 70B Instruct
72.0B
Qwen2.5 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
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas Llama 3.1 70B Instruct does not.

Qwen2.5 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

Qwen2.5 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 Qwen2.5 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

Qwen2.5 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 Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Qwen2.5 VL 72B Instruct is 6 months newer than Llama 3.1 70B Instruct.

Llama 3.1 70B Instruct

Jul 23, 2024

2.2 years ago

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.7 years ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

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 Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 70B Instruct
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 70B Instruct vs Qwen2.5 VL 72B Instruct.

Which is better, Llama 3.1 70B Instruct or Qwen2.5 VL 72B Instruct?

Llama 3.1 70B Instruct and Qwen2.5 VL 72B Instruct are closely matched on the LLM Stats Score at 7.6 and 12.7. Llama 3.1 70B Instruct is made by Meta and Qwen2.5 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 Qwen2.5 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%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for Llama 3.1 70B Instruct and Qwen2.5 VL 72B Instruct?

Llama 3.1 70B Instruct supports 128K tokens and Qwen2.5 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 Qwen2.5 VL 72B Instruct?

Key differences include LLM Stats Score (7.6 vs 12.7), 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 Qwen2.5 VL 72B Instruct?

Llama 3.1 70B Instruct is developed by Meta and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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